173 postdoc-in-thermal-network-of-the-physical-building positions at Technical University of Munich in Germany
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on the plant and lighting in the thermal building simulation. - Integration of the building into an energy system of a heterogeneous structure to map a circular economy. - Environmental optimisation based on a
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partners in Europe, the Argentinean National Research Council (CONICET) and the International Livestock Research Institute (ILRI), based in Kenya and their network of research partners. Your tasks will be
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, metabolomics, and precision health YOUR PROFILE Completed university degree (Master’s or equivalent) in a scientific or technical field such as Physics, Biotechnology, Bioinformatics, Mathematics, Statistics
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and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction
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, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov
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. Recent work of our group includes: o Robustness of neural networks (https://proceedings.mlr.press/v162/schwinn22a.html) o Novel threat models in LLMs (https://arxiv.org/pdf/2402.09063) o Efficient
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patterns and workflows that make human-AI collaboration seamless, trustworthy, and effective. This includes exploring emerging paradigms like "vibe coding", where the developer's role shifts to specifying
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high-dimensional single-cell analysis and within the LPI network (scRNAseq, spectral flow cytometry) to translate fundamental insights into translational applications for human health and disease. We
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zusammen mit insgesamt elf Postdoc WissenschaftlerInnen aktiv am wissenschaftlich-akademischen Diskurs zur aktuellen Forschungs- und Entwicklungsfragen im Bereich des Grünen Wasserstoffs teilnehmen. Von
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission