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. Implement Advanced Characterization Techniques to evaluate material performance and device reliability, integrating electronic control systems including DC-DC voltage boosting and maximum power point tracking
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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 hour ago
track-record in first-author scientific publications for Postdoc applications Experience with data-driven machine learning methods for modelling (PINN, Sparse Symbolic Regression methods) High willingness
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
to participate in one of several available PhD programs, with three years funding, in collaboration with the University of Göttingen. Masters students aiming at a fast track PhD are also welcome. The Postdoc
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in scope? Critically assessing the added value of 3D-based generative modelling compared to 2D-based approaches Tailored reward functions towards specific design objectives Dynamically incorporating
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 hour ago
ruminants, with the long-term goal of creating knowledge and tools needed to mitigate this potent anthropogenic driver of climate change. Our department has a proven track-record for cutting edge research
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modeling. Central to its objectives is the development of methods for monitoring and culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming
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in high-quality peer-reviewed journals Qualification profile: PhD in biology, biochemistry, molecular medicine, or a related field Strong track record of publications in peer-reviewed journals Solid