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scientific machine learning. The project aims to estimate the state of dynamical systems from sparse observational time series, combining data-driven approaches with high-fidelity and/or reduced-order
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Informatics team responsible for producing MGnify, the AMR portal and the microbial data in Ensembl. The Finn Research covers a range of different research themes, from computational tool development to deep
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Informatics team responsible for producing MGnify, the AMR portal and the microbial data in Ensembl. The Finn Research covers a range of different research themes, from computational tool development to deep
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Informatics team responsible for producing MGnify, the AMR portal and the microbial data in Ensembl. The Finn Research covers a range of different research themes, from computational tool development to deep
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effects of low-dose ionizing radiation. The position will contribute to the LUCID research program, a multi-institutional effort integrating experimental biology, machine learning, and mechanistic modeling
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Informatics (HOBI) at the University of Florida (UF) is seeking a highly motivated Postdoctoral Researcher with a strong background in biomedical informatics, artificial intelligence, machine learning, or
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TU Berlin seeks candidates for a PostDoc position in the field of stochastic analysis, in particular, stochastic PDEs, mathematics of machine learning, and stochastic dynamics. Our offer * PostDoc
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Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral
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will combine first-principles atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible
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building design using, e.g., Rhino/Grasshopper tool suite. Physics-informed machine learning, generative and agentic AI for building design automation. Teaching and developing computational and