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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex
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Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure
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data analysis, and artificial intelligence for medical sensing systems Modeling, simulation, and analysis of biophysical processes as well as medical sensing and communication systems Development
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research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 2.5 Geodynamic Modeling (department “Geophysics”), we are looking
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(100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a highly-motivated postdoctoral research fellow with strong expertise in cognitive computational modeling and an interest in applying
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In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream Tasks in
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applications. Simulation environments offer a promising approach to address this challenge. By accurately modeling the underlying physics of assembly operations, it becomes possible to learn generalized
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the region. The Faculty of Science of the Clausthal University of Technology is seeking to appoint the position of University Professor (Salary Scale W3 NBesO) "Mathematical Modelling" (m/f/d) at the Institute
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interpretable models of molecular disease mechanisms, with a focus on identifying proteins and pathways involved in cardiovascular disease. PhD project: Causal multi-omics modeling of disease biology We
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failure modes of electrical machines and their effects on vibration behavior are simulated. To this end, you will first adapt existing finite element models (FE) to represent mechanical faults. You will