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at the EMPA please check the website (https://www.epfl.ch/education/phd/edmx-materials-science-and-engineering/ ). Our offer Duration: 3 years full time Starting date: From October 2026 Deadline
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
; Autonomous ships and remote control. The research partners are the Norwegian University of Science and Technology (NTNU), University of Oslo, Oslo School of Architecture and Design, Royal Norwegian Naval
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Technologies (Ireland); and a network-wide training program. Responsibilities and qualifications The PhD scholarship is on the topic of “Carbon-Aware Neural Architecture Search (NAS)”. Most AI models are built
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17 Jul 2026 Job Information Organisation/Company Kaunas University of Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 14 Aug 2026 - 23:00
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1 Aug 2026 Job Information Organisation/Company CNRS Department Institut de recherche sur les céramiques Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1
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8 Jul 2026 Job Information Organisation/Company IMEC Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions Other
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holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 29 September 2026 The Role The School of Engineering
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the field of Physics, Chemistry, Biology, Chemical Engineering, Materials Engineering, Medical Engineering / Bioengineering or related fields relevant to the project topic. The successful candidate(s) will
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. Today's qubits remain noisy, short-lived and vulnerable to crosstalk and correlated errors. Quantum error correction (QEC) is what turns this fragile hardware into something useful: it protects quantum
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technologies generate large volumes of heterogeneous data and often require advanced technical expertise to operate, configure, and interpret. This PhD project will explore how Large Language Models, Natural