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This project focuses on the development of quantum–classical modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical
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model predictions Writing of the thesis and publication about the relation of experimental data and model results Your Profile: A Masters degree with a strong academic background in physics, mathematics
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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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Computational modelling of two-dimensional graphene-based materials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline
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-based vision (event cameras), we are recruiting a research and development engineer within our Computer Science (INFO) and Mathematical and Electrical Engineering (MEE) departments. In collaboration with
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., Meteorology, Atmospheric Physics, Chemical Eng., Physics, Mathematics, Aeronautics or any relevant PhD program. This eligibility requirement must be met no later than the time the employment decision is made
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Network Models" (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2451973 ) and "A mathematical theory for the biological concept of modularity” (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2424632
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PhD Research Fellow in Mathematical Modelling of Adrenal Gland Steroid Biosynthesis (DC12) at the University of Reading, UK (ENDOTRAIN) PhD position at the University of Reading, UK (ENDOTRAIN
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” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research in a machine translation/large language models (LLM
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of Mathematics and Natural Sciences PhD Position (f/m/x) - Nuclear Physics Institute for Nuclear Physics We are one of the largest and oldest universities in Europe and one of the most important employers in our