267 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" Postdoctoral research jobs in Sweden
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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) Country Sweden Type of Contract Temporary Job Status Full-time 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
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-time Is the job funded through the EU Research Framework Programme? Horizon Europe (other) Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description We
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Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want
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. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases
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to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en
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mathematics, and structural biology. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. You can read about the workplace here https
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co-operation with other universities/institutes and/or industry. Presently, our group consists of 1 Professor, 1 permanent researcher, 5 Postdocs and 8 PhD students. About the research project You will
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19 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Other Researcher Profile Recognised Researcher (R2
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communication skills in English Experience in the area of antenna systems and their applications in biomedicine/biology Knowledge of computational electromagnetics with practical experiences with electromagnetics