50 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" "UNIV" Postdoctoral positions at KINGS COLLEGE LONDON
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women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
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Department champions the discipline of Chemistry across King’s, leading with its own research and teaching, and encourages close interdisciplinary collaborations. Our PGT and UG programmes have been designed
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
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to develop a research programme of your own, and apply for independent funding. The postdoctoral researcher will also have teaching opportunities if this is of interest. You will be primarily based
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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project, an ambitious programme developing medical-grade nanoneedle bandages to deliver life-changing gene therapy for patients with recessive dystrophic epidermolysis bullosa (RDEB). This is a unique
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programmes involving national and international partnerships, often with our department acting as the lead site in multi-centre collaborations. We have been identified as the leading schizophrenia research
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for