30 data "https:" "https:" "https:" "inserm" Postdoctoral positions at University of Southern Denmark
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Robotics. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information about this position is available via email to Assistant Professor Di Wu diwu
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Job Description In order to expand the Centre for Visual Data Science , the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a
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could be extended. Application deadline: 21 January 2026. For further information please contact Professor Poul Nielsen, Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, e
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visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . If you experience technical problems, you must contact hcm-support@sdu.dk . Further information for international applicants about
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to receiving your application and to supporting your academic growth as a researcher in SDU Robotics. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further
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for additional information. Further information about The Faculty of Engineering. Where to apply Website https://www.sdu.dk/en Requirements Research FieldEngineeringEducation LevelPhD or equivalent Additional
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our niche scientific resources. For more information about the department please see https://www.sdu.dk/en/om-sdu/institutter-centre/igt-green-technology University of Southern Denmark (SDU). As one
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funded by the CAPeX Pioneer center (https://capex.dtu.dk/ ). The project involves design, synthesis, characterization, and testing of molecular transition metal coordination compounds, as electrocatalysts
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to Professor and FORM Director Fabrizio Montesi (fmontesi@imada.sdu.dk ) for more information. Hosting environment FORM is embedded in the Section of Artificial Intelligence, Cybersecurity, and Programming
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and