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Reference Number AE2026-0057 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0057.pdf CALL FOR
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, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the forefront of biomedical data science
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practical information about working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted
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university. This multi-disciplinary research is expected to lead to high-impact publications, and conference presentations, while generating knowledge to advance bio-adhesion technologies that mimic
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and GaN power electronic switching Advanced gate driving Automotive and wind-power scale power electronics, all wide-bandgap, modules up to 2.3 kV Advanced power module development New methods and tools
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highly impactful biomedical informatics research that presents new innovations in methods and novel findings that inform disease etiology. The candidate should be interested in focusing on multi-omic
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at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic models of impurity-host coupling and identifying optical signatures of correlated and
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only be possible if you can use tradeable points in some way and at certain pay scales. For more information please visit: https://www.gov.uk/skilled-worker-visa Protection of Vulnerable Groups (PVG
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scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial intelligence models. The PD will work closely with both the PhD candidates and PIs within
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African ocean basins. O2. Building anticipatory governance to ensure that actions to achieve transformative visions are sensitive to multi-scale temporal and spatial dynamics. SRC is leading WP 2 that aims