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PostDoc in aerobiological modelling Are you interested in atmospheric science and can you contribute to the development of a new generation of numerical models describing concentrations and
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systems such as multiple-scattering media and multimode fibers. The position involves developing advanced optical experiments, conducting numerical simulations, and engaging closely with theoretical aspects
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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criteria Skills in experimental research are desirable. Knowledge of the scientific literature in numerical cognition and/or developmental psychology will be considered an advantage. A background in
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 4 hours ago
investigations of meteorites as well as numerical modeling on state-of-the-art supercomputers. The Department Solar & Stellar Interiors at MPS invites applications for the position of a Postdoctoral Researcher (f
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, including periodical/literature search and utilizing specialized skills in spectroscopy and instrumentation to analyze the collected data, with numerical models. ● Participate/assist in manuscript writing
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should have: strong expertise in cosmology, general relativity, modified gravity, gravitational physics or relativistic astrophysics; experience with analytical and/or numerical research methods relevant
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the CARNOT HyLBM project, which aims to develop advanced numerical models for hydrogen storage in nanostructured metal hydride reactors. The researcher will contribute to the development of advanced
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for implementing computational models, simulations, and numerical experiments is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter
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) infrastructure of New York State’s Empire AI enabling us to train large AI models that will outperform traditional numerical prediction models. Duties: ● Design, train, and evaluate novel AI/ML models. Develop