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AlMaarefa University

Almaarefa University was established in 2009 in Riyadh, the Dariyah Kingdom of Saudi Arabia.
The university has three main colleges: medicine, pharmacy, and applied sciences, across which 10 bachelor of science undergraduate degrees are offered. The degree programmes range in duration from four to six years, most with a one-year internship included. 
Four-year courses include: computer science, information systems, industrial engineering, health information systems, respiratory therapy, emergency medical services, anesthesia technology, and nursing. The five-year courses include pharmacy, and the six-year course is medicine and surgery.
There are several requirements to study at Almaarefa University, including an 80-90 per cent GPA, as well as English language skills proven through the Oxford test or equivalent. Students must also take a general aptitude test and scholastic achievement admission test before admission. 
The university is located in Saudi Arabia’s capital city, Riyadh, located in the middle of the An-Nafud Desert.

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?70,425 plus ?2,162 London Weighting Allowance per annum

United Kingdom, London

About us

This Fellowship is a collaboration between King’s College London, King’s College Hospital, Guy’s Hospital and the Tessa Jowell Brain Cancer Mission. The post leverages the close relationship between the research interests in oncology and neuroscience offered by King’s College London with the Neuro-oncology service based at King’s College Hospital and Guy’s Hospital.

King’s College London has major research interests in Neurosciences and Oncology. The Department of Basic and Clinical Neurosciences, where the post holder will be based, has world class facilities for genetics, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported with state-of-the-art clinical research facilities, the clinical trials unit and the NIHR research support service at KCL.

The Regional Neuro-oncology unit at King’s College Hospital (KCH) and Guy’s Hospital Cancer Centre is one of the largest Neuro-oncology units in the country with a catchment area of over 4 million people and is a Tessa Jowell Brain Cancer Mission Centre of Excellence. The Unit provides team-based care in all aspects of neuro-oncology. The KCH and Guy’s Regional Neuro-oncology service is one of the inaugural Tessa Jowell Centres of Excellence for Neuro-oncology. There are Neuro-oncology clinics for: Adults, Teenage and Young Adults and Low-grade gliomas at KCH, and Oncology clinics at Guy’s Cancer Centre. Cases with possible cancer involvement, e.g. glioma mimics, meningeal disease, or brain tumour patients with functional neurological disorders are investigated at KCH. State of the art Neurosurgery is provided at King’s College Hospital with all necessary support. Oncology (chemoradiotherapy) management is based at the purpose-built Cancer Centre at Guy’s Hospital. We have close working relationships with the Haematologists to diagnose primary CNS lymphoma and the CAR-T service for patients with blood malignancies.

The Tessa Jowell Brain Cancer Mission (TJBCM) was formed following Dame Tessa Jowell’s call to action to improve treatment, care and research for people with brain tumours. The TJBCM works with stakeholders in the government, academic, NHS, Charity and patient and volunteer sectors to design and deliver a new national strategy for brain tumours. In particular, the TJBCM aims to significantly grow the brain tumour research community in the UK, train outstanding health care professionals and offer better care for patients in the UK.

About the role

This Post CCT Fellowship is for Neurologists who have completed General Neurology training and want to develop a specialist interest in Neuro-oncology. The post leverages the close relationship between the research interests in oncology and neuroscience offered by King’s College London with the Neuro-oncology service based at King’s College Hospital and Guy’s Hospital.

The Fellowship will be split with 50% time for research and 50% time for clinical care. The objective is to prepare the Neurology trainee to lead neuro-oncology research projects in the future that will improve the diagnosis and management of patients with brain tumours.

The Fellow will undertake a research project(s) which impacts diagnosis and management of brain tumour patients. The research project will be supervised by Dr Gerald Finnerty and will be based in the Department of Clinical Neurosciences, King’s College London, which is on the same campus as King’s College Hospital. The Fellow’s research roles will involve developing and conducting the research project in discussion with their supervisor. We anticipate that the Fellow will Identify sources of funding and will contribute to securing those funds. The Fellow will be expected to write up their research project for publication in academic journal(s) and make presentations at conferences or exhibit work in other appropriate events. Existing research topics range from clinical research e.g. CSF liquid biopsy and stroke in brain tumour patients, through to basic science, such as live human brain tissue to study brain tumours.

The Fellow will gain expertise in all aspects of the diagnosis and management of neuro-oncology patients. Clinical work will be based primarily at King’s College Hospital with a monthly clinic with the Oncologists at Guy’s Hospital. They will provide neurological care for patients with primary or secondary tumours involving the nervous system and patients with neurological complications of treatments for primary brain tumours and other cancers. This includes immunotherapies, such as chimeric antigen receptor T (CAR-T) cells. The Fellow will be closely involved in the investigation and management of patients with conditions that mimic a brain tumour.

This is a one-year full-time (40 hours per week) post and you will be offered an a fixed term contract running 1 December 2025 or as soon as possible thereafter until 30 November 2026.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria


	Full GMC registration with valid license to practice
	Basic Medical degree and MRCP or equivalent.
	Applicants should be at or near to gaining their certificate of completion of specialist training in Neurology
	Training in diagnosis and management of the types of neurological problems faced by neuro-oncology patients, e.g. epilepsy, headache, stroke, cognitive dysfunction, complications of cancer treatment
	Demonstration of acquisition of neuro-oncology-related knowledge and skills needed by neurologists
	Evidence of working flexibly and effectively within teams
	Evidence of leadership potential
	Demonstration of understanding, and commitment to, a career in neuro-oncology


Desirable criteria


	Intercalated Honours degree or PhD?(or pending results)?in relevant subject area.
	Experience of Neuro-oncology during Neurology training e.g. by doing a Neuro-oncology rotation, inpatient care or ward referrals, case presentations
	Experience and knowledge of clinical trial methodology or other research techniques.


Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’?pages.

Interviews are due to be held on date TBC

This post is subject to Disclosure and Barring Service and Occupational Health clearances.

Grade and Salary:??70,425 plus ?2,162 London Weighting Allowance per annum
Job ID:?114785
Close Date:?14-Oct-2025


King's College London

Morocco

Position Summary:

The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for a?Scientist in Applied Mathematics, Modeling, and Optimization?to contribute to the interdisciplinary?Wicked Problems (WiP)?framework in the undergraduate program. This role integrates mathematical modeling, numerical simulation, and decision optimization to help students understand, abstract, and solve complex real-world systems, ranging from climate, health, and manufacturing to logistics, mobility, and urban design.

Key Responsibilities:


	Mentor student teams in the mathematical modeling and optimization of dynamic, uncertain, and multiscale systems.
	Guide the design and implementation of numerical algorithms, optimization routines, and simulation-based decision tools.
	Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory.
	Provide expertise in operations research methods (e.g., linear, nonlinear, integer, stochastic programming) and computational mathematics (e.g., finite elements, reduced-order models).
	Co-develop open-source tools, educational notebooks, and visual interfaces for mathematical exploration and experimentation.
	Publish research and co-author student-led publications resulting from WiP investigations.
	Contribute to applied research motivated by the WiP investigations.


Required Qualifications:


	Ph.D. in Applied Mathematics, Operations Research, Scientific Computing, Engineering, or a closely related field.
	Proven expertise in mathematical modeling and numerical optimization techniques.
	Proficiency with programming languages such as Python, MATLAB, Julia, or C++.
	Experience developing and applying algorithms for simulation, optimization, or decision analysis.
	Strong commitment to interdisciplinary education and student mentoring.


Desirable Qualifications (at least two of the following):


	Experience with PDE-constrained optimization, optimal control, or inverse problems.
	Familiarity with numerical libraries (e.g., FEniCS, Gurobi, Pyomo, deal.II, PETSc).
	Background in real-world systems such as smart manufacturing, energy networks, or biological systems.
	Interest in hybrid modeling (e.g., combining physics-based models with machine learning).
	Experience co-developing tools or interactive content for STEM education.


Cross-Domain Application Areas May Include:


	Resource allocation in energy, health, and logistics
	Simulation of physical, biological, or socio-technical systems
	Digital twin modeling and control
	Mathematical foundations of sustainability and resilience
	Intelligent decision-support systems



Mohammed VI Polytechnic University

?45,031 per annum inclusive of London Weighting Allowance

About Us

The TOUR (Transforming cancer OUtcomes through Research) team aims to use science to improve healthcare outcomes by translating oncology research into clinical practice. TOUR is led by Professor Mieke Van Hemelrijck, and comprises a team of quantitative and qualitative researchers, clinicians, students, research nurses, trial coordinators, and database managers who are active across the field of translational oncology research.?

Prof Van Hemelrijck also leads the Guy’s Cancer Real World Evidence (RWE) Programme with Dr Anne Rigg from Guy’s and St Thomas’ NHS Foundation Trust. The programme aims to amplify Guy’s Cancer RWE data science capability and facilitate addressing answering challenging cancer research questions. The overall aim of Guy’s Cancer RWE Programme is to drive world class patient centred research.

About The Role

We are seeking a highly motivated Research Associate (Grade 6) with expertise in Real World Evidence (RWE) to join the TOUR team within the Faculty of Life Sciences & Medicine at King’s College London. This role offers an exciting opportunity to contribute to cutting-edge cancer epidemiology research, with a particular focus on the analysis of large-scale real-world datasets.

The successful candidate will work closely with Professor Mieke Van Hemelrijck and collaborators across clinical and academic teams – including King’s Health Partners and the South East London Cancer Alliance. They will be responsible for designing and conducting epidemiological studies using hospital data, national and international registries, and biobank resources such as the UK Biobank. The post holder will play a key role in managing and analysing complex datasets to generate insights that inform clinical practice and health policy.

This position is ideally suited for someone with a PhD in Cancer Epidemiology or a related field (or near completion), who has a strong background in RWD analyses and big data methodologies. The role will involve collaboration across multidisciplinary teams, contribution to peer-reviewed publications, and support for grant applications.

This is a full-time post, and you will be offered an a fixed term contract until 31st March 2027.

About You

You will hold a PhD in Cancer Epidemiology or a closely related field or be in the final stages of completing your doctoral thesis. You will have demonstrable experience in conducting Real World Data (RWD) analyses and working with large-scale datasets, including hospital records, national and international registries, and biobank resources such as the UK Biobank.?

You will be confident in applying advanced statistical methods to complex datasets and have a strong understanding of data governance and confidentiality in health research. Your ability to work collaboratively within multidisciplinary teams will be essential, as will your communication skills for presenting findings and contributing to publications and funding proposals.

Essential criteria:?


	PhD in Cancer Epidemiology or related field (or near completion)
	Proven experience in RWD analyses and big data methodologies
	Expertise in handling hospital data, registry data, and databases like the UK Biobank
	Strong statistical and analytical skills
	Excellent written and verbal communication skills
	Ability to work independently and collaboratively in a research environment


Desirable criteria:?


	Experience with OMOP common data model
	Experience with molecular epidemiology
	Familiarity with translational research data
	Prior involvement in multi-institutional or international research collaborations


Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate, and the salary will increase to Grade 6.?

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

We are not able to offer sponsorship for candidates who do not currently possess the right to work in the UK.

Grade and Salary:??45,031 per annum inclusive of London Weighting Allowance
Job ID:?127325
Close Date:?02-Nov-2025
Contact Person:?Mieke Van Hemelrijck
Contact Details:?Mieke.vanhemelrijck@kcl.ac.uk


$118,399 - $126,607 per annum plus 17% superannuation

Australia, Canberra

Classification: ANU Officer 8 (Technical)
Salary package: $118,399 - $126,607 per annum plus 17% superannuation
Terms: Full time, Continuing (contingent funded)
Position Description and Selection Criteria:?PD&PEWER_ANUO8_Specialist Computing Systems Programmer.pdf

This position is continuing (contingent funded). The funding that supports this project has an expected end date of 30?December 2026.

The Position

NCI is looking for an experienced front-end Developer to take a lead role in the development of user-facing components of the GUARDIANS (human Genomics Uplift for Australia through Research Data Infrastructure At National Scale) Project.

The Person


	2–4 years of experience as a front-end developer.
	Strong experience with JavaScript/TypeScript and frameworks like Angular, React and Node.js.
	Solid understanding of responsive design, accessibility, and web performance optimisation.
	Experience working with REST and GraphQL APIs.
	Familiarity with Git, CI/CD workflows, and collaborative development practices.
	Strong eye for design and user experience — you care about how things look and feel as much as how they work.
	Full stack knowledge (NestJS, databases, AWS) is a plus but not required.


The School/Department

The National Computational Infrastructure (NCI) is Australia’s leading national provider of high-end computational and data-intensive services, with a highly respected reputation for its services, expertise, and innovation. It forms an integral part of the Australia Government’s research infrastructure strategy, and is engaged with, and embedded in, research communities, high-impact research centres, and research institutions nationally. NCI is an operating unit of the Australian National University and is built on and sustained by a formal collaboration of national research organisations, ANU, CSIRO, Bureau of Meteorology, Geoscience Australia, other research-intensive universities, and eResearch support organisations nationally.

For further information please contact, Mr Pravin Mangukia, Manager Cloud Services, E: Pravin.Mangukia@anu.edu.au

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au.

ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities. For more information about staff equity at ANU,?visit?https://services.anu.edu.au/human-resources/respect-inclusion.

In order to apply for this role please make sure that you upload the following documents:


	A statement addressing the selection criteria.
	A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form.
	Other documents, if required.


Applications which do not address the selection criteria may not be considered for the position.

Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

Closing date: Sunday, 2 November 2025, 11:55 PM (AEST)


The Australian National University

Singapore

Job Purpose

The Professional Officers Division (POD) houses two Innovation Centres – Rapid Product Innovation and Development (RaPID) Centre and SIT-Poly Innovation Centre of Excellence (SPICE) Centre. The RaPID Centre aims to guide businesses in their innovation and value creation activities through rapid product development and sample production while the SPICE Centre aims to support local Small and Medium Enterprises (SMEs) in their technology-driven transformation, innovation and talent development initiatives.

These Innovation Centres house a dedicated pool of Professional Officers who come with specialised and deep technical skills acquired through extensive industry experience. Professional Officers work with industry partners to co-create commercially viable solutions. They deliver on projects that help industries and businesses to move up the innovation value chain. While working on these projects, Professional Officers will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key industry stakeholders that will translate the industry engagement into more innovation projects with SIT.

Key Responsibilities


	Lead or co-lead innovation projects with industry.
	Involve in customer engagements including gathering of systems requirements and writing project scope.
	Involve in the full development life cycle, i.e., design, development, and testing
	Generate technical proposals, design documents, test documents.
	Manage laboratories and equipment to support academic programmes and applied research.
	Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.


Job Requirements


	A degree in Computer Science or related Engineering discipline. Possessing a master’s degree, PhD degree and relevant certifications will be an added advantage.
	Experienced in developing machine learning and generative AI solutions for deployment into production.
	Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras)
	Strong programming skills in Python/Java/Javascript.
	Knowledge in LLM, RAG, LangChain would be advantageous.
	Knowledge of cloud computing and AI deployment (AWS, Google Cloud, Microsoft Azure) would be advantageous.
	Excellent problem-solving, analytical, and creative thinking skills.
	Work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline.
	At least 2 years working experience in AI/ML software development.



糖心Vlog

AlMaarefa University

About AlMaarefa University

Impact Rankings

Impact Rankings 2025401-600^th

No Poverty 2025201-300^th

Zero Hunger 2025401-600^th

Good Health and Wellbeing 2025101-200^th

Quality Education 2025201-300^th

Gender Equality 2025101-200^th

Clean Water and Sanitation 2025601-800^th

Affordable and Clean Energy 2025801-1000^th

Decent Work and Economic Growth 2025401-600^th

Reduced Inequalities 2025201-300^th

Sustainable Cities and Communities 2025401-600^th

Responsible Consumption and Production 2025801+

Climate Action 2025801-1000^th

Life below Water 2025301-400^th

Life on Land 2025401-600^th

Peace, Justice and Strong Institutions 20251001+

Partnership for the Goals 20251001-1500^th

Discover similar universities

Subjects Taught at AlMaarefa University

Computer Science

Engineering

Medical and Health

Company

Legal

糖心Vlog

AlMaarefa University

About AlMaarefa University

Impact Rankings

.css-1lk1zhk{display:block;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;}Impact Rankings 2025.css-4ju6x1{display:block;font-size:1.25rem;line-height:1.375;font-weight:600;color:#595959;}.css-4ju6x1>sup{font-size:65%;display:inline-block;width:0;word-wrap:normal;}401-600th

No Poverty 2025201-300th

Zero Hunger 2025401-600th

Good Health and Wellbeing 2025101-200th

Quality Education 2025201-300th

Gender Equality 2025101-200th

Clean Water and Sanitation 2025601-800th

Affordable and Clean Energy 2025801-1000th

Decent Work and Economic Growth 2025401-600th

Reduced Inequalities 2025201-300th

Sustainable Cities and Communities 2025401-600th

Responsible Consumption and Production 2025801+

Climate Action 2025801-1000th

Life below Water 2025301-400th

Life on Land 2025401-600th

Peace, Justice and Strong Institutions 20251001+

Partnership for the Goals 20251001-1500th

Discover similar universities

Subjects Taught at AlMaarefa University

Computer Science

Engineering

Medical and Health

Impact Rankings 2025401-600^th

No Poverty 2025201-300^th

Zero Hunger 2025401-600^th

Good Health and Wellbeing 2025101-200^th

Quality Education 2025201-300^th

Gender Equality 2025101-200^th

Clean Water and Sanitation 2025601-800^th

Affordable and Clean Energy 2025801-1000^th

Decent Work and Economic Growth 2025401-600^th

Reduced Inequalities 2025201-300^th

Sustainable Cities and Communities 2025401-600^th

Climate Action 2025801-1000^th

Life below Water 2025301-400^th

Life on Land 2025401-600^th

Partnership for the Goals 20251001-1500^th