16 algorithm-development-"Multiple"-"Prof"-"UNIS" Fellowship research jobs at KINGS COLLEGE LONDON
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. From research that led to the discovery of the structure of DNA, to developing life-changing therapies and making maths education available to underrepresented groups, we continue to have a
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multiple fields and audiences. This is a full time post (35 Hours per week), and you will be offered an a fixed term contract until 31 August 2028. About you Please note that these are development positions
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This exciting research role will be responsible for the successful delivery and future development of a newepilepsy research project jointly run by King’s College London and Swansea University and funded by
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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading
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participant recruitment for advanced magnetic resonance imaging (MRI) (fetal imaging), a sub-study of the PISA (Prenatal Influences on the Development of Infant Autoimmunity) project funded by The Leona M. and
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, motivated individual to establish and develop a growing laboratory focused on cancer immunotherapy research, particularly in breast cancer and glioma. The position will involve assisting in the establishment
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this role you need to be able to show a body of research outputs and the level of thought leadership and development towards independence required to be competitive as a future research leader. In this role
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mentoring and career development. The 2021 Research Excellence Framework (REF2021) placed King’s applied and allied health research 1st for: overall proportion of research rated 4* (world-leading, the best