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Research (MESR). Applications are invited for a 36-month PhD Fellow position at CNRS / Université Grenoble Alpes (UGA) as part of the Marie Sklodowska-Curie Doctoral Network GLYCOCALYX. About the Network
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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 Join us at the Laboratory
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 9 Mar 2026 - 00:01 (Europe/Athens) Country Greece Type of Contract Temporary Job Status Part-time Hours Per Week 15 Offer Starting
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Researcher (R3) Leading Researcher (R4) Positions PhD Positions Application Deadline 5 Apr 2026 - 23:00 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer
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Doctoral position at Department of Electronics and Nanoengineering at Aalto University, in Espoo, Finland. DC2: Sub-terahertz and terahertz reconfigurable intelligent surfaces Main supervisor: Prof
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for Smart Cities of Tallinn University of Technology (TalTech) invite applicants for a 4-year PhD position in the field of responsible AI governance for smart city development. The project focuses on how
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7 Apr 2026 Job Information Organisation/Company VIB Research Field Biological sciences Computer science Researcher Profile Leading Researcher (R4) Positions Other Positions Application Deadline 31
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, if needed. The successful applicant will: Possess a graduate degree in landscape architecture, or a closely related field. A PhD is not required but a welcome asset. Have post-secondary teaching experience
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
25 Feb 2026 Job Information Organisation/Company Tyndall National Institute Research Field Communication sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
of the trajectory. This grant targets the development and rigorous benchmarking of novel, energy-efficient CAD-based deep learning architectures that fuse visual and inertial modalities for the robust 6D pose