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, Nagoya University, conducts studies to elucidate the mechanisms and interactions of various phenomena in the holistic Earth, Sun, and Universe system. The mission of ISEE is to contribute to solutions
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Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth
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Atomic Molecular and Optical Physics , Experimental Condensed Matter , Experimental High Energy Physics , Experimental Particle Physics , Experimental Physics , Experimental Solid State , Experimental
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Complex Earth Systems, Global Change, Planetary Health and Carbon Neutrality Strategy Biomaterials, Bioelectronics, Neuroengineering, and Computational Medicine Solid Mechanics, Fluid Mechanics, and
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données constitueront un atout.The candidate should hold a Master's degree (or equivalent) in mechanics, biomechanics, mechanical engineering or biomedical engineering. Strong background in solid mechanics
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for on-chip cooling. This studentship is offered as part of the prestigious Horizon Europe Marie Skłodowska-Curie Doctoral Network “MaGnesium Alloys for effICient solId stAte cooliNg (MGICIAN)”, a pan-European
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engineering and/or railway engineering. What you will do Take courses at an advanced level within the Graduate school of Solid and structural mechanics . Develop your own scientific concepts and communicate
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students in classroom and laboratory settings. Desired areas of expertise include solid mechanics, control systems, machine design, and thermal-fluid systems. Of special interest are candidates with
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
within active matter physics Solid programming skills Desired qualifications: Experience in statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter
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on: influence functions, Shapley values, gradient-based signals • Detection of high-risk contributors in collaborative learning 4. Verifiable Privacy Mechanisms • Design of machine unlearning protocols