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We are seeking a collaborative and self-motivated computational post-doctoral fellow to work on cancer cachexia in a vibrant and highly collegiate environment. The candidate will be expected to make
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sociotechnical perspectives to the programme, and work on developing and disseminating influential recommendations for framing, communication and trustworthiness, and policy-relevance. About you You will have
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. The appointee will plan and carry out a program of high-quality original research, disseminate this research through scholarly presentations and publications, and engage in the intellectual life and activities
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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery
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the interview process. You will have a PhD in bioinformatics, or equivalent skills and experience, an understanding of human genetics, and knowledge of DNA and RNA sequencing analysis. Knowledge of bioinformatics
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will have a PhD in Computer Science (or related fields) or close to completion (e.g., the candidate should have submitted their PhD dissertation) for an appointment at grade 7 or a relevant Master or
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to undertake background checks as part of this process. About you Candidates should have a PhD (or about to submit) in Electronic Engineering, Physics or a closely related field. They should have a track record
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. Further funding to support the post may be available. About you Applicants should have a PhD (or about to submit) in Electronic and Electrical Engineering (EEE) or a closely-related field (Physics
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-cell approaches, the lab maps vulnerability and resilience in ageing brains. By combining molecular cell biology with computational tools - including AI-driven hypothesis generation - we aim to uncover
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community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an