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Objectives Development of sensitivity framework for coupled sensitivity analysis. Extend the developed framework to support FSI problems, and identify suitable sensitivity computation methods. Identify
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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comparative and historical perspective combining data-driven computational approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories
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40 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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important to us – we provide targeted and individual support HEALTH & WELL-BEING: Your health is important to us. You can look forward to a comprehensive company health management programme with a wide range
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and presentations at scientific conferences contribute to the development of the new Master's program, "Resource-Efficient Manufacturing and Materials – REMM." Requirements: very good to good university
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experimental and computational research in the areas of novel aviation and maritime propulsion (combustor design, thermo-acoustics, SAF, H2, ammonia) as well as hydrogen mixtures and refrigerant safety
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Description KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in
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comfortable with us from the start. We achieve this, for example, through our onboarding program for new employees as well as by raising awareness of and providing training on diversity and equal opportunity
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writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a