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reference data, and explore how different stack and channel designs affect shunt current distribution. Ultimately, the results should contribute to optimizing cell and stack configurations for minimal energy
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, and using them. We are therefore one of the leading institutes for predicting material behavior using numerical simulations and scientific experiments. In our projects, we bridge the gap between
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well as surface and bond properties Determination of sorption properties of An-MOFs towards fission products Development of novel An-MOFs with optimized sorption properties Presentation of the results in scientific
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 19 days ago
Job description:Postdoc (f/m/d) AI-based automated adaptation and biological optimization of proton therapy With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees
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[map ] Subject Area: Applied and Numerical Analysis Appl Deadline: 2025/09/15 11:59PM (posted 2025/08/05, listed until 2025/12/31) Position Description: Apply Position Description Doctoral and
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electrolysis and fuel cells (SOEC and SOFC). By combining numerical modeling with data-driven approaches, you will identify optimized operating conditions and strategies to improve both steady-state and dynamic
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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and designing sustainable P2X value chains. As a PhD researcher, you will contribute to the new stack designs for high-temperature electrolysis and fuel cells (SOEC and SOFC). By combining numerical
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experiments Develop, optimize cellular assays and CRISPR engineering using human iPS stem cell models and differentiation systems (2D or organoids) Perform functional validation of candidate hits using
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quite heavily. We establish new results concerning the analysis of stochastically driven anisotropic fluids, design novel numerical simulation and optimal control schemes, and provide new means for risk