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one of the top universities in the world. Application can be sent directly to this email: [email protected] Group information: https://sites.google.com/view/qlmgroup/home Information about the
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Description Mission: Manage and execute tasks related to morphodynamic modeling and data analysis. Functions to be developed: Design and execute advanced numerical simulations with the Q2Dmorfo model. Manage
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live in. The selected candidate will join the group Physics of Active Matter at the University of Luxembourg: https://efodorphysics.github Your role The project aims to develop novel analytical and
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and/or numerical analyses assist in the preparation of research reports and manuscripts perform other duties as assigned Requirements a Ph.D. degree in physics or a related discipline good command
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, climate economics, operations research, or statistics); • Proficiency in at least one scientific programming language (e.g. Julia, Python, etc) required; • Experience with numerical models (preferably
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Technology offers numerous international exchange programmes for its employees. 1) Full-time remuneration for a post-doc type post is awarded in accordance with Regulations on awarding funding for research
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and space weather on the ionosphere-thermosphere system. We utilize a comprehensive set of measurements from ground-based instruments and satellites in our research, supported by advanced numerical
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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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sponsorship. Job Duties Performing high level experimental, theoretical, and numerical research and data analysis (55%) Presentation publication, and proposal preparation (20%) Mentoring PhD and MSME students
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computing and numerical simulation workflows. Publish in leading conferences and journals (e.g. NeurIPS, ICML, ICLR, AAAI, npj Computational Materials). Present research results at international conferences