1,444 structures "https:" "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" positions in Germany
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English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see: https
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workflow that maps first-principles electronic-structure data onto predictive atomistic spin-Hamiltonians and device-scale dynamical models. The candidate will run high-throughput, relativistic DFT
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Related works: [1] Sagawa et al., Distributionally Robust Neural Networks for Group Shifts (GroupDRO) https://arxiv.org/pdf/1911.08731 [2] Liu et al., Just Train Twice: Improving Group Robustness Without
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-structured working style Strong cooperation and teamwork skills in an international, interdisciplinary environment Our Offer: We work on pressing scientific questions that are highly relevant for society and
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). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L. Further information can be found at https://oeffentlicher-dienst.info/ (in German). The place of work is
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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, or experience with agile methodologies are beneficial Excellent communication and teamwork skills in a multidisciplinary and international environment An independent, structured, and proactive working style with
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https://securemail.tu-dresden.de by sending it as a single pdf file tojobs-scads.ai@tu-dresden.de or to: TU Dresden, ScaDS.AI, Prof. Dr.-Ing. Michael Färber, Helmholtzstr. 10, 01069 Dresden, Germany
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will include use and development of advanced synthesis and characterization techniques and advanced characterization routes to understand their (micro-) structural and magnetic properties. Further info
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the implications for forest ecosystem service supply. The main methodological approach applied will be forest landscape simulation modelling using the model iLand. The work is embedded in the BETA-FOR project (https