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interest in 3D modeling, generative methods/scripting, parametric design, AI methods, visualization, digital fabrication Didactic talent and enjoying interdisciplinary working and learning methods
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users, thanks to the use of machine learning tools and techno-economic analyses. This project is aligned with the sustainable development goals (SDG) 7 and 10 of the United Nations, by promoting a low
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governments and institutions to achieve outcomes traditional approaches cannot. Job Summary The Bike Shop is hiring a Machine Learning Researcher. The Bike Shop is a CS and Economics research lab focused
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
., using FEniCSx) Advanced knowledge of scientific programming, preferably in Python, including experience with implementing machine‑learning methods (e.g., PyTorch) Excellent spoken and written English, as
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groups currently underrepresented in science. We are working to improve the current gender balance within our department and especially welcome women to apply for this position. Where to apply E-mail
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well as machine learning techniques, is central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and mechanisms occurring in
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on epithelial barrier integrity, inflammation, and host transcriptional responses. The project offers interdisciplinary training in bioinformatics, advanced statistics and machine learning, anaerobic microbiology
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working on robust methods for statistical learning
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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Identification of mathematical models for the fluid flow and flow patterns Estimation and soft-sensing of non-measurable process variables Optimization and learning control of the flow by manipulating the plug