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Your Job: The work is part of the joint project “Towards sustainable production by regenerative agriculture and agroecology in a changing climate” (ReGenFarm). Together with Bayer Crop Science, IBG
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics
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being carried out in close collaboration with Dr. Alexei Kiselev and his research team at the Karlsruhe Institute of Technology. The Department of Atmospheric Microphysics is looking for a committed
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conferences Requirements: a university degree in the field of computer science, data science, computational modeling or related subjects in combination with civil engineering, transport engineering a strong
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models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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cell sequencing datasets and to combine these data with AI analyses from bone marrow smears. We aim to analyze mechanisms and also to develop new biomarkers for therapy response and resistance. Job-ID
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was established in 2019 with our partner institute, the Nagoya Institute of Technology, Japan, in order to better understand lead-free perovskite materials for photo-electro-mechanical energy conversion systems
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level university degree in engineering (e.g. Computer Science), completed with above-average results • Good skills (both theory and practice) in one or several of the following topics: Computer Vision
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: Sucessfully completed scientific university degree (Master) in the fields of chemical engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an