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electrochemical and redox flow battery systems. The PhD candidate is part of a larger project, called “Redox Blend” with other universities and companies, within the National Growth Fund program Circular Batteries
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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molecular biology, systems and synthetic biology with bioprocess and metabolic engineering to improve both our understanding of these cell death processes as well as the survival and performance of different
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Computer Science; the Department of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and Environmental Engineering; the
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with project partners and disseminate results through reports, visualisations, and scientific publications Your profile You hold an M.Sc. in Data Science, Computer Science, Engineering, Physics
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Location: Mechanical and Aerospace Systems Research Group, Faculty of Engineering, University of Nottingham Funding: UK Home fees + tax-free stipend of £24,000 p.a. for 4 years Applications
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funded PhD studentship to work on HYDROCEM, funded by the Research Ireland Pathway Programme and supervised by Dr Damian Palin in the School of Engineering at Trinity College Dublin, the University
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The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella of the Danish
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing