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your suitability with evidence of the following: Have backgrounds in computer science (or engineering), system engineering, or physics/mathematics. Knowledgeable in machine learning techniques (had
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Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so, driven by curiosity and supported by
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Computer Science, Data Science/Data Analytics, Mathematics, Information Systems (Engineering) or related disciplines Understanding of blockchain fundamentals Strong programming skills in at least one relevant
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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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within the University. We offer first-rate education and research in a wide range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical
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MPhil) in Economics, Econometrics, Finance, Mathematics, Business Administration, or a related field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge
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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
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, including the Department of Applied Mathematics, Computer Science and Statistics at Ghent University (Belgium), the Leibniz-Institut für Analytische Wissenschaften (Germany), and the Oncology Clinic
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30 Aug 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Cybernetics Computer science » Programming Mathematics » Algebra
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leaders, Prof. Dr. Vitali Gretschko (University of Münster) and Prof. Dr. Peter Werner (Maastricht University), and join a vibrant international research community in behavioral/experimental economics and