320 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" scholarships in Germany
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-2022-NAHS.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc
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://www.fz-juelich.de/profile/buechel_m Your Profile Excellent university degree (Bachelor) in field of Data Science or a comparable field i.e. Electrical Engineering, Computer Science/Engineering
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for candidates holding a Master’s degree (or equivalent) in electrical engineering, computer science, physics, or related subjects interested in pursuing research as part of GS-IMTR’s project
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. A W3 professorship in the broad area of "Hybrid Microelectronics” is available at the University of Stuttgart in the Faculty of Computer Science, Electrical Engineering, and Information Technology
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Helmholtz Association of German Research Centres | Karlsruhe, Baden-Württemberg | Germany | about 1 month ago
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content University Professorship at KIT (W3) „Computer Networks
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mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). 2. Master’s or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field
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, Referenzen und Abschlussarbeiten. Am Lehrstuhl für Decision Sciences and Systems im Department of Computer Science der Technischen Universität München (TUM) ist in der Arbeitsgruppe von Professor M
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Facebook Instagram Online Application System Facebook YouTube FAQ Impress Contact Welcome to the Saarbrücken Graduate School of Computer Science Vorherige Weiter 1 2 Welcome to the Saarbrücken
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development of ProteomicsDB with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass spectrometry. ProteomicsDB (https://www.proteomicsdb.org/) is an
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are looking for candidates with: A strong BSc and MSc degree in computer science, machine learning, mathematics, physics, engineering, or a related field Strong foundations in machine learning and