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Transcriptomics and Multiplex Immunofluorescence platforms. You will develop computational methods for identification of discriminative spatial interactions of therapeutic response, and develop skills in
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Location: Centre for Human Genetics, Building for Genomic Medicine, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN Salary: Research Grade 7: salary in range £38,674 - £43,171 per
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biomedical data scientist / computational biologist to join our highly collaborative team at QMUL. PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant
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We are seeking a Postdoctoral Researcher in Human-AI interaction to join a research group focused on studying learning and decision-making in humans and machine learning systems led by Prof Chris
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About the Role We are recruiting an enthusiastic postdoctoral research associate to conduct a scientific programme of work focussed on pain mechanisms in epidermolysis bullosa, under the supervision
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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programme investigating early lung fibrosis at King’s College London. It is anticipated candidates will have a relevant PhD in immunology or respiratory sciences, and have experience with cell culture
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GPUs). Research Associate: Hold a PhD in high performance computing, computational fluid dynamics or a closely related discipline*, or equivalent research, industrial or commercial experience. Research
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for medicine use before and during pregnancy. This postholder would work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in
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machine learning, computer vision, human-computer interaction, or similar relevant areas. Experience in research or development on bias, interpretability, and/or privacy in machine learning/AI is necessary