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8 Apr 2026 Job Information Organisation/Company Université Savoie Mont Blanc Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application
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uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Magnetic sensors and actuators Description: Example of project is the development of novel position sensor or actuator
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15 Apr 2026 Job Information Organisation/Company IMT Atlantique Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
), and Morpheo team at Inria Grenoble (https://team.inria.fr/morpheo ). It is financed by an Inrae Explor’ae funding. About The Postdoc will start 01.09.2026 for a duration of 18 months, and be supervised
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https://www.academictransfer.com/en/jobs/360069/postdoc-inverse-design-of-broad… Requirements Additional Information Website for additional job details https://www.academictransfer.com/360069/ Work
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: Radio Frequency Identification (RFID) technology, both chip and chipless, along with the integration of stand-alone or integrated sensors, provides a physical platform for the implementation
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 15 May 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting
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3 Apr 2026 Job Information Organisation/Company Université Marie et Louis Pasteur Research Field Engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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project (and a 2nd PostDoc vacancy within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence
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scanning and Time-of-Flight (ToF) sensors, to enable robust material identification directly in non-laboratory, real-world environments. The acquired data will be processed using advanced machine learning