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medicine and numerous accredited Bachelor's and Master's degree programs. MSB is part of the IRO Group, which also includes MSH Medical School Hamburg, HMU Health and Medical University Erfurt, HMU Health
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plan proposal for academic supervisor(s) The project description must describe the topic, research question, theoretical basis, and choice of method. In addition, you must provide information about your
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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travel. Requirements: The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related scientific disciplines. Skills in numerical tools and
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, finite element analysis, programming and numerical methods. Applicants are expected to have achieved a First class (or, in special cases, an upper-class, 2:1) honours MEng/MSc degree or equivalent in
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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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systems, including methods for colloid characterization Spatially resolved surface analysis using interference microscopy and autoradiography Derivation and parameterization of mechanisms Interdisciplinary
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Profile Essential Qualifications Master’s degree (or equivalent) in Mechanical/Civil/Computational Engineering, or related. Strong background in numerical methods in engineering, computational mechanics