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susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
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concentration in the titer Development of a scalable downstream process for the produced siderophores, in particular using two-phase aqueous extraction system Your profile Completed university studies (Master) in
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artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work
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Lviv, Ukraine. The current research topics include disorder effects on phase transitions (diluted ferromagnets, long-range correlated defects, spin glasses, random graphs and networks), long-range
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well as the preparation of a research proposal and framework should be undertaken at an early stage within the programme. Current information Please check our website for information on current research subjects: https
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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Universität Düsseldorf, Physics Position ID: Universität Düsseldorf -Physics -PD [#28569] Position Title: Position Type: Postdoctoral Position Location: Düsseldorf, Nordrhein-Westfalen 40225
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observational studies at ATTO, this project will use vegetation modeling as a powerful tool to investigate the impacts of current climate extremes and future projections on the Amazon rainforests. The focus
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sustained commitment beyond one's own interests during the doctoral or study phase as well as a broad spectrum of interests beyond what is professionally required The assessment process takes place in two
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have graduated more than six years prior to the nomination date ( exceptions apply) applicants with a PhD are not eligible research phases outside Germany during the funding period can be supported