731 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "PhD Jobs" positions in Sweden
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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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and Data Analytics, Fraunhofer-Chalmers Centre E-mail: mats.jirstrand@fcc.chalmers.se Phone: +46 730 794303 Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026
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Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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environments Documented experience in documentation of ongoing work and code Documented experience using container and cloud technologies, for example Docker, Helm, or Kubernetes. Documented experience with
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recruitment companies as well as vendors of job advertisements. URL to this page https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef950c393a904293789&lang=UK&rmpage=job&rmjob=28844
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on biotechnology, cellbiology, tumorbiology and/or immunology. Practical experience of handling and staning tissue sections. Knowledge and practical experience in coding languages such as R. Assessment criteria
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Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research group is
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of Medical Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research
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. 10 PhD vacancies are available in six universities. For more information, regularly check the individual vacancy pages of the universities listed on the project website [https://heritour.eu/ ]. About
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in