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– Adaptive & Agentic AI. The PhD project focuses on developing robust and reliable machine learning systems that can adapt at test time under real-world distribution shifts. Modern foundation models (e.g
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transdisciplinary research field that explores how technology can support health and sustainability through digitalisation, data-driven systems, and intelligent decision support. About the position This PhD position
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coupled geodynamic-glacial erosion modelling There is a vacancy for a PhD Research Fellow within tectonics-glacial erosion interaction at the Department of Earth Science . The position is for a fixed-term
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their reliability and real-time performance? Then apply for the PhD position on Adaptive Connectivity Architectures for Cyber-Physical Systems! Information Modern cyber-physical systems (CPS), such as semiconductor
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of systems for transportation utilising electric drive (cars, trains, ships, aircrafts) or transformation for high-voltage DC power distribution networks. Currently, great research effort is focused on growth
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valuable. So in return for your efforts, we offer you: A salary of minimum € 3.059,00 (PhD salary scale 85.0) and maximum € 3.881,00 (PhD salary scale 85.3) gross per month, on a full-time basis. A position
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Group (CAG) entitled “Patient-tailored management of bacterial infections in the age of antimicrobial resistance”. The position is for a period of four years. The nominal length of the PhD programme is
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) Positions PhD Positions Application Deadline 15 Apr 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research
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/or DNA extraction from historical collections is highly desirable. Candidates who already have a PhD degree will not be considered for the position. Adrian Svendsen Bensvik via Unsplash Adrian Svendsen
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a motivated PhD candidate to develop innovative visual