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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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/2026 Back to Search Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics Posting Number req26727 Department Biosphere 2 Department Website Link https
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threats. We want to work towards a future where digital services are inherently designed with user privacy and safety at the forefront. Current research thrusts involve: Large-scale measurements on the web
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Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing, and supported by the Multiannual Funding of R&D Units of the FCT (UID/5210/2025) Where to apply Website https
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In polymeric materials, a fundamental transition is required from synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover
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. Certifications/Licenses Required Knowledge, Skills, and Abilities o Professional knowledge in mechanical engineering, electrical engineering, civil engineering, architecture, urban planning, regulatory economics
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on the design and development of mechanically intelligent surgical tools that simplify surgical motions and incorporate image sensing. These tools will be integrated with robotic platforms and machine learning
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technical duties assigned by the Principal Investigator or senior research staff. Job Requirements MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology
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with the Ganna Lab (https://www.dsgelab.org/ ) at FIMM and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami
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reflects the full salary range for this position. Individual placement within the range is based on the candidate’s current experience, education, skills, and abilities related to the position. Successful