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Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
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health, and long-term conditions. Experience working with individuals impacted by cancer or other long-term physical or mental health conditions. Experience with psychophysiology methods. Experience with
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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of breast/glioma/melanoma cancer animal models. Experience in contributing to publications with writing up materials and methods referring to histological aspects. MSc degree or equivalent in a relevant
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component of this post will comprise working as part of the Skin Therapy Research Unit under the supervision of Professor Catherine Smith. You will receive comprehensive training, for instance in the conduct
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of Britain, the British empire and Britain’s global connections, from 1750 onwards; they will also teach elements of King’s History’s core curriculum. Fellows will be appointed on an Education & Research
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staff. The awardee will develop a diverse set of research skills, including qualitative and quantitative methods, and gain experience in research of national and international significance. We are seeking