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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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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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applying if you:Have obtained or will soon obtain a master degree in computer science or a related subjectWant to pursue academic research at the highest level and obtain a PhD degree within four to five
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-derived amines for Maillard reaction in Brassica foods – GluAmin’, which is funded by German Research Foundation: PhD student (f,m,div) in the field of food chemistry Reference number: 14/2025/3 The salary
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” research hub and to contribute to taking on a globally visible leading role in the field of artificial intelligence (AI) and education in Tübingen through interdisciplinary collaboration. Possible areas
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in different healthcare domains in our “AI Safety Test Bench” Coordination with our project partners the position is limited to 3 years Your Profile PhD degree in computer science or a related field
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and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes and management strategies, effectively converging technologies to intelligently
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identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie
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in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time