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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to Philip.torr@eng.ox.ac.uk For more information about working
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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 Contribute your computer vision
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 1 day ago
computer architecture and embedded systems Strong familiarity with commercial Integrated Circuit design tools, such as Virtuoso, Spectre, VCS, Calibre, etc. Some experience with compact modeling of devices
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 1 day ago
site in the PACA region of France. They consist of a mirrored side and a painted side. Rather than resorting to manual computer graphics work, the general aim of the project is to to develop the lightest
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TCAD (Technology Computer Aided Design) simulation desirable. - Experience in power electronics desirable Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR8001-DAVTRE-003
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controls, low noise electronics, simulation and modeling, finite element modeling, and computer programming. The start date of appointment will be Spring 2026, though there is some room for flexibility
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microscopy, flow cytometry, and Western blotting. Computer proficiency in Microsoft Word, Excel, Powerpoint. Familiarity with computer languages is desirable. Experience in Virology, mass spectrometry
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vision researchers to design algorithms specifically tailored for the extraction and analysis of these historical diagrams. EIDA considers these diagrams both as visual heritage and as tools