167 phd-in-computational-mechanics-"KHALIFA-UNIVERSITY" Postdoctoral positions at University of Oxford
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via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, physics or a related discipline, and have experience
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You
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About the role The Lu lab is interested in the mechanism by which cancer karyotype mutates and becomes resistant to therapy, with the aim of finding new ways to treat cancer more effectively. We
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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fixed-term for 12 months. The project start date is 1st January 2026. The RESILIENT PoC will focus on the engineering of mechanically durable and optically efficient coatings/films/paints, which may be
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, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil in Materials Science or Chemistry (or be close to completion), together with relevant experience in the field of beyond Li-ion batteries, in
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research team investigates molecular mechanisms underlying viral evolution and host changes. You will be working on a project that will focus on understanding how some viruses can change their receptor
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new