212 computational-physics "https:" "https:" "https:" "https:" research jobs in United Kingdom
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- VIN UNIVERSITY
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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Aatos Erkko Säätiö, and The FINNCERES flagship (https://www.finnceres.fi/ ), funded by the Research Council of Finland’s Center of Excellence Programme (2022-2029). What we offer The expected starting
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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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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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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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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
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) Application Deadline 12 Feb 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Months Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https
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and full GMC registration. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional
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, physics-based surrogate model for EME reconstruction. The outcome is expected to significantly reduce computational load and improve adaptability in ISAC systems. ICS is the largest academic research