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to implantation, including validating methods in virtual in vivo environments. • Collaborate with engineers to refine fuel cell specifications and support in vivo experiments. You should hold a relevant PhD
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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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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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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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to conventional lab-based XPS instruments, to make it a widely accessible research tool for academia and industry. You will have responsibility for adapting ultrahigh vacuum equipment to accommodate the reaction
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at the University of Oxford and work collaboratively with academic partners at Warwick, Berkeley, Potsdam, Groningen and beyond. This post is based at the Department of Computer Science and on-site working is
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A one-year Research Assistant position is available in Prof Ivan Ahel’s group based in the Sir William Dunn School of Pathology, University of Oxford to study ADP-ribosylation signalling in DNA
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Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key