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research project on the optimal use of load flexibility in industry. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a
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with numerical modelling and analysis and handling of large simulation datasets Strong knowledge of HPC programming (Fortran and C/C++) and performance optimization Knowledge of parallel programming
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purification of engineered protein variants generate modified protein-based materials and investigate how protein modifications affect material properties and adsorption behavior establish and optimize workflows
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, interdisciplinary and international research environment, providing state-of-the-art experimental equipment and versatile opportunities to grow as a curious researcher. Knowledge & further training: Comprehensive
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27.07.2026, Academic staff TUM is seeking a Doctoral Researcher to develop manufacturing-optimized fixed-wing UAVs in collaboration with Airbus Defence & Space and TUM IWB. The position combines
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programming (Fortran and C/C++) and performance optimization Knowledge of parallel programming paradigms such as MPI, OpenMP, OpenACC or equivalent technologies Experience with large-scale scientific software
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high-quality teaching and world-class research. Assuming profound responsibility towards society, RWTH addresses bold scientific questions and translates its knowledge into meaningful applications. RWTH
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
chromatographic purification. Crystallization and precipitation are alternative purification techniques that operate at substantially lower costs, but their process design and optimization is challenging due
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optimizes individual manufacturing processes on industrial semiconductor equipment for the production of micromechanical and power electronic components on Si, glass, and GaN substrates in a cleanroom. This
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, energy system optimization, and hydrogen technologies. The position offers the opportunity to contribute to cutting-edge research while optionally developing a Master’s thesis within the project