259 coding-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral research jobs in Sweden
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to apply Website https://uu.varbi.com/en/what:job/jobID:891842/type:job/where:39/apply:1 Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldChemistryYears of Research
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-doctoral positions within in the AMBER co-fund project please visit https://www.euraxess.se/jobs/392999 The interviews will start in April/May 2026. For more information about AMBER, application and
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-doctoral positions within in the AMBER co-fund project please visit: https://www.euraxess.se/jobs/392999 The interviews will start in April/May 2026. For more information about AMBER, application and
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participation in regular group meetings and events. You can read about the workplace: https://liu.se/en/organisation/liu/ifm/mdesign The employment This employment is a temporary contract of two years with
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University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:884285/ ) and submitted by the deadline 2026-02-12. The application must contain: Cover letter describing your research
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place at undergraduate and advanced levels, mainly in programmes leading to degrees in agronomy and biology. For more information about the department or division visit: https://www.slu.se/en/about-slu
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Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp/ ). The scholarship (30 000 sek/month) is funded by the Carl Trygger Foundation and the
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https://www.lunduniversity.lu.se Street Paradisgatan 5 Postal Code 221 00 E-Mail karin.falth@hr.lu.se Phone 0703258022 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ Duties and responsibilities The appointment as a postdoctoral
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023