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07.04.2026, Academic staff PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project focuses on developing PINN-based simulations
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experimentalist to connect simulations with measurable observables. PhD topic This PhD project aims to develop a theoretical and numerical understanding of fluid transport under nanoconfinement, with a particular
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: 1) a letter of intent describing yourself, your research interests and motivation of why you want to do a PhD, and why you are suitable for the position (max 1 page); 2) your CV; 3) a copy of academic
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Contribute to establishing test strategies and setups for the designed ASIC structures Carry out the experimental characterization with the electronics laboratory equipment Contribute to the global simulation
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multidisciplinary team led by Valérie Caps (ICPEES/CNRS Chemistry) and Giovanni Manfredi (IPCMS/CNRS Physics), based at the CNRS Cronenbourg campus. Attached to ICPEES, the PhD student will have access to both
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design, and help predict failure mechanisms during LAT production. There is also scope to develop coarse-grained computer simulations (e.g. dissipative particle dynamics) to expand the chemical and
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Profession Positions PhD Positions Application Deadline 8 May 2026 - 14:00 (Europe/Bucharest) Country Romania Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU
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Camerat 15th May 2026 Languages English English English Faculty of Biosciences and Aquaculture PhD: Development of automatic monitoring of dairy cow and calf behaviour Apply for this job See
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, mathematics, computer science, and statistics. Your work tasks This PhD project falls under Research Thrust RT2 on Physics-based modeling and simulation. The objective of the PhD study is to explore and address