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numerical model simulating wood formation. Position: Doctoral candidate (m/f/d) in the field of tree growth and wood physiology, 75%, available from March 2027 Your Profile Completed master studies in
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concrete. About us Digital Structures with Mineral Materials is a new professorship at the TU Munich, focusing on the de-velopment of structural engineering, design, analysis and modelling methods
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across the world. We are looking for motivated researchers to join the HDSC/MDSI Tandem Project "Data science at scale: Training neural models with mixed precision solvers." This is a joint project
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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benchmarking and performance analysis against state-of-the-art studies Perform numerical modeling and validation of brain-inspired and neuromorphic algorithms Design, set up, and operate experimental systems
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solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and decoding
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, energy systems, computational engineering, or a related field Strong background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas
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-of-the-art multi-scale electrophysiological data using modern analysis techniques construct data-informed stochastic and deterministic simulations of activity data to model observed dynamics and to assess
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 8 hours ago
interdisciplinarity, implemented in numerous cross-group and cross-disciplinary projects. The base funding of HITS is provided by the Klaus Tschira Foundation. HITS is looking to fill a fully funded PhD position (m/f/x
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-temporal detail. The work will involve experimental implementation, optical setup development, numerical data analysis, and modeling. Requirements: Applicants must hold a Master’s or Diploma degree in