37 multiple-sequence-alignment Postdoctoral positions at University of Oxford in ireland
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work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
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will be involved in processing and analysing tissue collected from patients undergoing surgery, using whole genome sequencing, transcriptomics and proteomics. You will be heavily involved in designing
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will be involved in processing and analysing tissue collected from patients undergoing surgery, using whole genome sequencing, transcriptomics and proteomics. You will be heavily involved in designing
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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, to co-ordinate multiple aspects of work to meet deadlines. You will undertake laboratory work as required, such as sample preparation, cell culture, analysis of tumour samples and, tissue staining. Other
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” approaches the lab has pioneered, including the use of TET-Assisted Pyridine-borane Sequencing (TAPS), an innovative sequencing method that allows the simultaneous detection of mutations and methylation
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(notably MCP, A2A). Note that the successful candidate will work in collaboration with two other postdocs on a closely aligned project “Rethinking multi-agent systems in the era of LLMs”, funded by
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Summerfield. The post-holder will have responsibility for carrying out rigorous and impactful research into human-AI interaction and alignment, with a particular focus on studying how humans and AI systems can
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small-scale project management and to co-ordinate multiple aspects of work to meet deadlines. About you You will hold a PhD/Dphil (or near to completion) in molecular biology or cancer biology with
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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