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Field
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you an enthusiastic lawyer and/or public administration scholar with a curious research
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15th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Cyber Risk Management in Maritime
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in yards, creating opportunities for more data-driven planning. AI can replace or supplement traditional planning approaches, which struggles to manage the uncertainty and variability that are inherent
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contain well-informed methodological considerations. To find out more about the department please go to https://www.cbs.dk/si.  ; A particular quality of the department is in the use of empirical
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devices. Personal qualities We are looking for a highly motivated and curious researcher with a strong interest in electrochemistry, ionic transport, and energy conversion. The project explores a new and
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. Fabrication and characterization of flexible, soft, or deformable electronic or electrochemical devices. Personal qualities We are looking for a highly motivated and curious researcher with a strong interest in
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD student positions in Business Administration with a focus on entrepreneurship
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5 Sep 2026 Job Information Organisation/Company University of Groningen Research Field Environmental science » Global change Environmental science » Natural resources management Political sciences
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will be the Head of Department. Duties of the position Complete the doctoral education programme Carry out high quality research Develop material integrity predictive framework using different