489 parallel-computing-numerical-methods Postdoctoral research jobs in United Kingdom
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Page The Role and Department One of the UK's leading Mathematics departments with an outstanding reputation in teaching, research, and employability of our students. It has an active programme of
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration
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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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Sciences Institute https://www.dur.ac.uk/bsi/, which act as cross-campus focal points for activity in this area. These also embed strategic links to numerous companies with interests in soft matter
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materials discovery and machine-learning-accelerated materials simulation. You lead and guide the development of novel computational materials discovery and molecular simulation methods. You take a key role
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computational methods (Efremova et al. Nature Protocols, 2020; Jain et al., Genome Biology). About You PhD in a biological or computational subject and background in working with genomics data. About the School
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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research methods (including research ethics, interviewing, and analysis using software programmes such as NVivo. Strong experience in community engagement (preferably with minoritised ethnic people
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics