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183469 – Senior Bioinformatician in Single-cell/Spatial Multi-omics and Machine Learning/Artificial Intelligence Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
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of omics datasets, including single-cell and spatial multi-omics. Previous experience applying machine learning/AI methods, including experience and knowledge of python programming, is essential. Experience
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this role you will be using your skills to aid with machine learning, bioinformatics and preclinical validation as well as working with a multi-disciplinary team who seek to transform cancer and its treatment
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analysis. You will use state-of-the-art genomics methodologies combined with synthetic biology and Machine learning approaches, to develop novel approaches to express RNA transcripts, cell type specifically
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• Previous publications related to single cell sequencing analysis and mouse genetics • Previous experience in programming in Python, and/or application of machine learning for analysing data
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of PhD or DPhil degree in neuroscience or cell/molecular biology, or equivalent. • Have knowledge and experience of working with transgenic mouse models of neurological disease or neurodegenerative
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, machine learning, or good software engineering practices would be an advantage. The successful candidate will be required to access data held by the UK Health Security Agency in order to undertake this role
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the multidisciplinary environment of the Stevens Group and collaborate with external research groups. Selection criteria: • Hold, or be near to completion of, a PhD/DPhil in biochemistry, chemistry, nanotechnology
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Goldberg and will contribute to an ongoing EPSRC-funded project titled Optimisation for Game Theory and Machine Learning. The research associate will be based at Oxford and will work with Prof. Goldberg and
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broad areas of relevance to the research project and partner institutions. Selection criteria: Hold, or be near to completion of, a PhD/DPhil in bioengineering, materials science, nanotechnology