13 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at KINGS COLLEGE LONDON
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us The Faculty of Life Sciences & Medicine brings together
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and access appropriate training and professional growth. About the role We are delighted to invite applications for a PhD training fellowships at the Cicely Saunders Institute, King’s College London as
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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living beyond cancer. Desirable criteria PhD training in health psychology, clinical neuroscience, or related discipline. Knowledge of mind-body science, interoception, interactions of physical and mental
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and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration
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skills and experience: Essential criteria Upper second or first degree (BA, BSc or equivalent) and PhD in behavioural, social, management or health sciences, or in a discipline with a health-related
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About Us The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in cancer immunology, virology, cell biology or molecular
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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