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Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing. Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths
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resource development. Supervisory Team Main Supervisor (host institution): Prof. Dr. Ingo Sass (GFZ/ TU Darmstadt) Co-supervisor(s): Dr. Juliane Kummerow (GFZ) Planned Secondments (institution, country
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the DTU-supercomputer facility Niflheim . Qualifications You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree
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affiliation. The position is available immediately or upon agreement. For further information about the position, please contact: Dr Claudio Mucignat , Scientist and Principal Investigator, or Dr Ivan Lunati
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become accessible experimentally only about twenty years ago, and is now used to realise the first noisy quantum computers. In particular, the main goals are to understand: the non-equilibrium dynamics
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The candidate must have a Master degree in the relevant area (e.g., Mechanical or Chemical Engineering), with documented knowledge within liquid fuel combustion and advanced CFD modelling of turbulent reacting
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parameters, models, and statistical uncertainty. Safety formats will be assessed using risk-based approaches considering emissions, human safety, and economy considering also advanced design methods. Main
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Principal supervisors: Martin Orrell, School of Medicine, Professor – M.Orrell@nottingham.ac.uk Magdalena Opazo B., School of Medicine, Senior Research Fellow – Magdalena.Opazo@nottingham.ac.uk
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devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150
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supervised by Dr Daniel Payne (Principal Investigator), Dr Calum McMullen and Dr Katja Rietdorf (Co-Investigators). The student would be required to live in the UK and within commuting distance of The Open