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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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available in the further tabs (e.g. “Application requirements”). Programme Description The Erasmus+ individual mobility project is not only aimed at students but also at university teachers and members
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posting is subject to approval of the associated third-party funded project. Your tasks You will help modelling complex geochemical systems, which are typically limited by extremely high computational
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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available in the further tabs (e.g. “Application requirements”). Programme Description The Ernst Ludwig Ehrlich Studienwerk (ELES) is one of the foundations for the development of talent which are supported
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: university degree (Master or diploma) in physics, biology, computer science, or a related field excellent background in RDM principles and FAIR data practices, ideally gained in a scientific environment
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your academic education in Germany with a postgraduate course
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support of data/metadata formats developed in the group Integration of the developed software into the computational environments and data handling routines Presentation of the scientific results
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would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Circuits and Systems
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Master's degree programme at a state or state-recognised German university Duration of the funding 1 to 2 years Value Monthly scholarship payment of 992 euros Medical, accident and personal liability