190 evolution "https:" "https:" "https:" "https:" "https:" "ELETTRA SINCROTRONE TRIESTE S.C.P.A." positions in Finland
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, Pseudomonas aeruginosa, and Enterobacter spp). Our goal is to make a difference in the development of next-generation strain-specific rapid diagnostics, and to help find potential drug/vaccine targets. We have
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of computational electromagnetics. Previous experience in nanofabrication or design of metasurfaces. Apply now via this link, at the latest by May 31st, 2026: https://metatune.webs.upv.es/jobs/ Where to apply
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, at the latest by May 31st, 2026: https://metatune.webs.upv.es/jobs/ Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408203/doctoral-position-a… Requirements Additional Information Work
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provides an excellent research and teaching environment and opportunities for international collaboration (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki ). The salary for the position
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. Employees of the University of Helsinki must submit their applications through the SAP Fiori portal: https://msap.sap.helsinki.fi About the Finnish Museum of Natural History The Finnish Museum of Natural
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for the development of researchers’ working conditions and careers. Our Buddy Programme and Spouse Network support you and your close ones in settling into Oulu. If you are moving from abroad, we offer comprehensive
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artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including
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-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
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resources for research including LUMI supercomputer and close collaboration with companies and the ELLIS network. Read more and apply by February 9 at https://www.ellisinstitute.fi/postdoc-recruit-2026 Where
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development