62 computational-physics-"https:"-"https:"-"https:"-"https:"-"Université-de-Bordeaux-" PhD positions at Nature Careers
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A PhD position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The project is funded by
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a unique range. Institute of Material and Process Design The Institute of Material and Process Design is dedicated to the sustainable and ecological development of innovative materials and
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more about the PhD program at the Department of Physics, Chemistry and Pharmacy, read more here . Natural Science Research – Interdisciplinary Strength The Department of Physics, Chemistry and Pharmacy
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requirements: MSc degree or comparable degree in electrical or mechanical engineering, physics or a related subject. The project involves hands-on cleanroom work, device fabrication, and high-frequency
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, (bio)informatics, and multimodal data analysis. The research group focusses on the mechanisms of Hypothalamic-Pituitary-Gonadal (HGP) axis regulation that governs human reproduction. The group
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. We favor candidates with a degree in physics, chemistry or materials science. For Topic 1-3, candidates must have documented skills in atomic-resolution electron microscopy/spectroscopy
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To strengthen our team in the division “Acoustic and Electromagnetic Methods” in Berlin-Steglitz, starting 01.04.2026, we are looking for a PhD student (m/f/d) in the field of physics or engineering
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the pharmacological action of small molecules on ion channels using electrophysiology as well as Ca2+ and Vm fluorometry REQUIREMENTS: University degree in biology, biochemistry, pharmacy, physics, biomedicine or other
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who want to develop and use Franklin technologies in novel, interdisciplinary research spanning our different scientific challenges . We welcome candidates from any scientific, maths, computing
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the Arctic, experimental tests of climate driven changes in carbon export from land and turnover and release of greenhouse gases (CO2 and CH4 ) from headwaters, and use of machine learning and process-based