11 professor-computer-"https:"-"https:"-"https:"-"SUNY" Fellowship research jobs at King's College London
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of the UK-Irish Atopic Eczema Systemic TherApy Register (A-STAR). A-STAR is the UK’s flagship register of atopic eczema patients on systemic therapies, under the leadership of Professor Carsten Flohr, Chair
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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details:Sam Norton (Professor of Medical Statistics & Applied Health Research). sam.norton@kcl.ac.uk Location: Guy's Campus & Denmark Hill Campus. Category: Research. About us: King’s College London is one
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, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
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part of an EPSRC Programme Grant involving 15 co-investigators in a range of disciplines related to development of PET imaging strategies for the development of healthcare nanomaterials for therapeutic
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building
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), based within the Department of War Studies at King’s College London, is seeking a Research Fellow for its new Net Assessment Programme. They will be engaged on a new multi-year research project funded by
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD