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for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 6 hours ago
Degree PhD Course location Kaiserslautern Teaching language English Languages Discussions are held in English (100%). Programme duration 8 semesters Beginning Only for doctoral programmes: any time
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fields) with a focus on farm animal behaviour and welfare. interest and/or experience in animal behaviour, experimental studies, statistics, and computer-based data analysis. strong communication skills in
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: This is part of your personality: Above-average MA in
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) Desirable Skills: • Prior experience in light-matter interaction, quantum information, quantum computing. • Proficiency in computer programming matlab, python, mathematica. How to Apply and required documents
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» Computer engineering Computer science Mathematics Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Mar 2026 - 17:00 (Europe
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28 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Simulation engineering Researcher Profile
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content Please check our website for details: https://www.uni-goettingen.de/de/training+program/636453.html Course
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and