481 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" PhD scholarships in Germany
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Degree Dr rer nat Course location Münster Teaching language English Languages English only Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline https
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for biodegradation of selected novel dyes from dyed fabrics • establish innovative dyeing procedures with a special focus on defossilisation and reduction of emissions Where to apply Website https://verwaltung.hs
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Where to apply Website https://verwaltung.hs-niederrhein.de/qissva/rds?state=change&type=3&nextdir=sva… Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Skills/Qualifications
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research areas. New insights and synergetic effects resulting from collaboration between inherently different viewpoints of separate fields typically accompany this endeavour. Our task force on machine
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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the individual career and personal development of doctoral students, along with facilitating networking among them. https://www.philgrad.hhu.de/ Support for international students and doctoral candidates Welcome
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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must provide proof of excellent English skills: TOEFL 550 (paper-based), 213 (computer-based), 79 (Internet-based) or equivalent. Application deadline The application deadline has not yet been determined
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time Application deadline Applications are accepted year-round and evaluated every month. Please visit the RESOLV Jobs and Training website for details: https://www.solvation.de/career/jobs-training
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High