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that you gain admission to the PhD programme in Medicine and Health Sciences within three months of your employment contract start date, and that you participate in an organized doctoral programme
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3 Aug 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya Department Department of Civil and Environmental Engineering Research Field Engineering » Civil engineering
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Engineering » Computer engineering Engineering » Maritime engineering Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 16 Aug 2026 - 23:59 (UTC) Country
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Energy For more information see: www.uu.se/earthsciences The successful candidate will join the research program Air, Water and Landscape Sciences (LUVAL) (https://www.uu.se/en/department/earth-sciences
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Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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The rapid electrification and digitalisation of society are creating increasingly complex electromagnetic environments. Fast-switching power electronics in vehicles, buildings, hospitals and farms can generate electromagnetic interference (EMI) that propagates through unexpected conducted and...
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for the doctoral work. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you
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to join a multidisciplinary biomedical research team. The successful candidate will contribute to cutting-edge research involving genome engineering, transgenic animal model development, molecular biology
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engineering lies the future of computing and energy harvesting. We are seeking an ambitious researcher to push the limits of the atomic scale, transforming theoretical insights into the building blocks of next
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop