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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 7 days ago
programming skills in Python or C/C++. The candidate should also be familiar with the domain of computational fluid mechanics. Experience in meshing methods is appreciated but not required. Good communication
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Exciting opportunity: Join CDT-FORT to Shape the Future of Secure Networks - fully funded
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during the 2nd year of the PhD A vast choice of networking events and activities within the PhD@Tec21 Programme and through the international network of MSCA fellows Access to the UGA International Student
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Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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radar systems. Finally, it will benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary surveillance
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able to work with very large data and have the creativity and curiosity to work with network measures and statistics. You may also be an expert on grounded computational social science: combining large
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researchers, it is a globally respected institution that also has outstanding economic significance for the Rhine-Neckar metropolitan region. Research Assistant/PhD Position – Computer Architecture (f/m/d
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09.12.2025 The Hector Research Institute of Education Sciences and Psychology at the University of Tübingen invites applications for the following position: PhD Position on Computational Modelling
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing computational Social Network Analysis (SNA) methods
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Location: Central Cambridge PhD Studentship - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis