758 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at University of Oxford
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processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed
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electronics and software. The post-holder will also have the opportunity to teach. The post-holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion in physics
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programme. They must be able to manage their own research and administrative activities within provided guidelines and have excellent team working and communication skills. The post is offered part-time at
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investigations. Applicants should possess or be close to obtaining a PhD in physics, materials science or physical chemistry. Be highly experienced in semiconductor material growth/fabrication and characterisation
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clearly with stakeholders • Organisation and administrative skills • Competent using a range of computer-based and online applications • Able to organise own workload and work
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offer the greatest opportunity for energy independence and deep decarbonisation (i.e. process heat and hydrogen) to meet net zero targets. Our programme of research, collaboration, and skills development
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The Qing Laboratory at Oxford is recruiting postdoctoral researchers (multiple positions available) to join a Bill & Melinda Gates Foundation–funded programme focused on developing innovative
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We are recruiting for an exciting research role as a Research Assistant/Data Coordinator, for the Children’s Surgery Outcome Reporting (CSOR) programme. This position is ideal for candidates with
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health programme investigating EBV-positive Burkitt’s lymphoma. You will be responsible for supporting studies on cancer vaccine development using in vivo and in vitro techniques and supporting projects in
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candidate will have a PhD in mathematics or Physics and a record of outstanding research in the mathematical theory of Complex Systems, including Random Matrix Theory and its Applications, and Statistical