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clusters versus sparse stellar associations), assuming a variety of different delivery mechanisms (supernovae, stellar winds). We will use these yields to model the contribution of 26-Al and 60-Fe the long
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mixing modelling and mathematical properties related to thermodynamics, Development of numerical simulation within an open-source code, Writing skills, ability to formulate a scientific project, publish
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days ago
relevant field of research we are one of the largest and most recognized centers in Germany. On a national and international level we are active and recognized in numerous initiatives and networks
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management with the focus on computational efficiency and practicality. Review existing analytical, numerical, and data-driven models related to battery management in SDVs. Multi-domain battery modeling and
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of aerosol research and aerosol-cloud interactions. TROPOS combines global field measurements, laboratory studies, numerical modelling and both ground-based and satellite-based remote sensing to improve our
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numerical results is desired as this is a multi-partner project Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7588-CARLEB-009/Default.aspx Work Location(s) Number of offers
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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of the existing strengths in the department, which include numerical weather prediction, climate modeling, high-impact weather and climate events, boundary layer meteorology, and surface hydrology
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. Meeting the project deliverables within the project timeframe, which consists of the following responsibilities: Explore different numerical models that can capture droplets physical behavior under both