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language. Programme duration 6 semesters Beginning Winter and summer semester Application deadline Varies, please check our website Tuition fees per semester in EUR None Combined Master's degree / PhD
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: Business and Economics Psychology Mathematics and Computer Science Physics Chemistry Pharmacy Biology Geography Medicine Humanities and Social Sciences: Law Business and Economics Social Sciences and
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for dynamical systems, causality, and ML for science more broadly. We publish at core ML venues and are also interested in collaborating on applications in biomedicine, climate, or physics. Find out more at
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 3 hours ago
, Finance, and Management. You will develop strong analytical skills, publish in top journals, and join a global academic network. This fully-funded programme includes advanced courses, close faculty support
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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should have very good skills in the English language and a strong background in at least one of the fields relevant for research at ConVeY: Control theory, formal methods in computer science, or machine
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postdoc programme of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig with more than 300 researchers from around 30 nations. The yDiv Graduate School trains doctoral
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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of the above-mentioned funding opportunities within the university Fully funded position LMU Travel Grant, LMU Completion Grant Academic admission requirements Excellent Master's degree in computer science