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Field
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planned for the next decade About your role: understanding and identifying the electromechanical accelerating cavity system designing, simulating, implementing, and testing novel system identification
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strengthen the Department’s profile in one or more of the following areas: Theoretical and computational biophysics, particularly biomembrane research, molecular simulations, multiscale modeling, quantitative
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing
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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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manipulation and on-surface synthesis for studying model systems for electronics and energy storage at the nanoscale. For more information, please see www.cfaed.tu-dresden.de/francesca-moresco-group/home . For
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, and goal-oriented working style with a strong commitment to solving complex technical challenges Practical experience with fiber optics, vacuum technology, cryogenics, finite-element simulations (FEM
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of collective effects from external and internal fields, and further optimisation of the design Start-to-end simulations to verify results Participation in day-to-day operational tasks About you: PhD in
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past datasets within the URBank (https://urbank.earth ) initiative. The full-time position will be for a period of 3 years, with the possibility of a 1-year extension, and based in Jena, Germany. The
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 2 months ago
to the development and the analysis of modern machine learning methods, with a focus on probabilistic modelling that enables, for example, to account for uncertainties when training neural networks, to capture complex
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The project unites systems chemistry, advanced microfabrication and quantitative microscopy. It also offers the chance to develop simulation approaches for reaction–diffusion processes to rationalize and