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, including projects that could support future fellowship or independent position applications. Applicants should hold, or be close to completion of, a PhD/DPhil in biochemistry, molecular biology, structural
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well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics or another related area. (For
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areas in future. Based within the group of Dr Hugo Fernandes at the Department of Physiology, Anatomy and Genetics, you will be responsible for designing, validating, troubleshooting, and performing
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of progression to sAML. You will contribute to the study and sequencing design, collaborate with experimental biologists to validate the hypotheses, and advise and supervise computational staff and students. You
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including design, conduct, and dissemination. The post holder will work at the newly built Institute of Developmental and Regenerative Medicine (IDRM) at the Old Road Campus of University of Oxford in
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for network constraints and uncertainty. Collaborating with other researchers on the project, you will also contribute to the design of a supporting cloud-to-edge computing architecture and profit-sharing
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of their impact on cellular and molecular phenotype of iPSC-derived neurons and glia. The work will involve (i) establishment of cultures of iPSC-derived neuronal and glial cells (ii) design of CRISPRa/i strategies
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be close to completion of, a PhD/DPhil in Structural Biology, Biochemistry, or Molecular/Cell Biology. Experience in protein expression and purification are required for this position. Experience in
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changes. In this role, you will take a lead on developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even
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administrative activities which involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will design and perform original research using in vivo disease modelling