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the chance to obtain further academic qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme “Productive Biofilm Systems” aims at, in
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pursued within a structured graduate program of the CRC integrated into the Graduate Academy of the University of Stuttgart (GRADUS). The University of Stuttgart symbolizes exceptional, internationally
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. Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc or equivalent degree in Molecular Biology, Genetics, Biochemistry, Epigenetics, or a related discipline
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Universität Berlin. The position is part of the research group Quality.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project ‘GluAmin
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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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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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(GIWAXS) and others) Contribution to the scattering data analysis and support of data/metadata formats developed in the group Integration of the developed software into the computational environments and
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, master’s degree) in transportation, computer science or related fields experience with transport models and/or simulation tools interest in interdisciplinary research on the analysis and modeling
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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. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st...
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Description This PhD project relates with ongoing research projects in the area of renewable energy powered membrane processes, in particular solar-powered electrodialysis at IAMT. The removal of inorganic contaminants such as nitrate, arsenic, selenium, uranium and fluoride is a key priority....