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-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, OX1 3TA and is available from 1 October 2025
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focusing on alignment of MMFM with ethical, legal, and social values. Specifically, the postholder will lead work to: (1) develop bias and fairness methods for domain-specific MMFM to identify and mitigate
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data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and chromatin accessibility. You will contribute to the study and sequencing design, collaborate
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and collaborative. The successful applicant will be managing their own academic research and administrative activities. This involves small-scale project management, to co-ordinate multiple aspects
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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completion, of a relevant PhD and have experience analyzing high-throughput sequencing data. Excellent communication skills and the ability to present your work and contribute to publications is essential
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organised, with excellent record keeping and have the ability to work independently and manage multiple tasks, including training junior members in the group. Desirable experience includes previous experience
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transwell culture systems, preparing samples for mass-spectrometry and RNA sequencing. Previous experience with complex in vitro culture systems, such as microfluidic chambers, is essential. It is also
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks