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instruction is English. All courses, lectures, and workshops are held in English. Participants are required to write and defend their doctoral thesis in English. Programme duration 8 semesters Beginning Winter
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at conferences. The PhD program has a duration of three years and with the PhD degree offered by TUM. Qualifications A Master’s degree in Operations Management, Computer Science, Industrial Engineering, Economics
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | about 14 hours ago
jointly run by the Max Planck Institute for Software Systems (MPI-SWS), Max Planck Institute for Informatics (MPI-INF), the Computer Science Department at RPTU Kaiserslautern-Landau, and the
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15.05.2021, Wissenschaftliches Personal The chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for an excellent candidate for a
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, on patent management and licensing, stand-ards, value capture, technology acquisitions, digitalization, and open source software (topics, publications). The position The position is research focused; teaching
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, metal physics, or a similar degree Experience in software engineering (incl. high-throughput computing) Knowledge in the field of materials engineering of metals and materials modelling (i.e. CALPHAD
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Science, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation
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enthusiastic PhD researchers. Tasks and project As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project focuses on enabling
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enthusiastic PhD researchers. Tasks and project: As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project will focus on quantifying
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory