790 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "UNIV" positions in Sweden
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of offers available1Company/InstituteChalmers University of TechnologyCountrySwedenCityGothenburgPostal Code412 58StreetMaskingränd 2 Contact City Gothenburg Website https://www.chalmers.se/en/ Postal Code
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cybersecurity lab, vulnerabilities in isolated systems are analyzed to pioneer new research methods and train both students and professionals. More about cybersecurity research at LiU: https://liu.se/en/research
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of TechnologyCountrySwedenCityGothenburgPostal Code412 58StreetMaskingränd 2 Contact City Gothenburg Website https://www.chalmers.se/en/ Postal Code 412 58 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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available1Company/InstituteChalmers University of TechnologyCountrySwedenCityGothenburgPostal Code412 58StreetMaskingränd 2 Contact City Gothenburg Website https://www.chalmers.se/en/ Postal Code 412 58 STATUS
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in English. Mark your application with the reference number below. Closing date for application: 13 April 2026 Reference number: 2464-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main
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/InstituteChalmers University of TechnologyCountrySwedenCityGothenburgPostal Code412 58StreetMaskingränd 2 Contact City Gothenburg Website https://www.chalmers.se/en/ Postal Code 412 58 STATUS: EXPIRED X (formerly
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Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr
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our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala, Sweden Form of employment: Permanent employment. SLU may use probationary employment. Scope
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rich history and culture, and is a true academic and cultural hub. Find out more about moving, living and working here at https://internationalhub.uppsala.se/ Application deadline: 2026-04-20 Place of
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https