411 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs in Sweden
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Reference number REF 2026-0110 Are you passionate about pushing the boundaries of genomics? We are looking for a Doctoral student to join an exciting project at the intersection of genomics and data
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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University of Gothenburg, Department of Education, Communication and Learning | Sweden | about 1 month ago
, play, leisure and family life. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral
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information about doctoral studies at Chalmers here . Application procedure The application should be written in English and attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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Additional Information Work Location(s) Number of offers available1Company/InstituteLunds universitetCountrySwedenCityLund Contact City Lund Website https://www.lu.se/vacancies STATUS: EXPIRED X (formerly
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, workplace learning, educational leadership, communication, school development, didactics and teaching. For more information about doctoral education in education at the University of Gothenburg: https
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more information about the group at: www.shegai-lab.com or https://scholar.google.com/citations?hl=en&user=btt8op4AAAAJ&view_op=list_works&sortby=pubdate Contract terms The Doctoral student positions
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students and postdocs Drive quality assurance work and documentation and presenting data, results and method development internally and externally, both in written and oral presentations Who we are looking
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of Gothenburg. This includes basic courses in programmes for engineers, mathematicians, computer scientists and natural scientists, but may also include supervision of degree projects, teaching advanced courses