1,066 computational-physics "https:" "https:" "https:" "https:" positions in United Kingdom
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an exciting opportunity to work at the interface of neuro-oncology, nanomedicine, and translational cancer research, contributing to a programme with clear clinical relevance and long-term vision
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– join us in making the world a better place. Visit our website for more on who we are: http://www.kent.ac.uk/about/ Please see the links below to view the full job description and to apply for this post
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Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description
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assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. As London’s Global University, we know diversity fosters
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of Mathematical, Physical and Computational Sciences (SMPCS) conducts world leading research in priority research areas of Data Science and Computational Science. Within the department, the Computational Vision
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projects within our group funded by EU Chips JU, Business Finland (BF) co-innovation, and Technology Programme Helsinki Institute of Physics such as Moore4Power, WIBASE, and AQUES respectively. The role
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The job details are shown below. For further information click on the link for the job description. We are seeking an exceptional Programme Manager to join a growing research team as part of
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London is an undergraduate study abroad program of exceptional quality with teaching strengths across the curriculum. Our UK faculty, drawn mainly from local universities, has an excellent record in
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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holder will be responsible for the day-to-day running of this programme of work as part of Dr Chiari’s research team within the Cells, Organisms and Molecular Genetics (COMGen) group (https