315 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" research jobs in Sweden
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to contribute to a positive work environment. We also value the ability to work independently in carrying out work tasks, as well as openness to learning new skills and taking on new responsibilities. We value
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Website https://umustipendie.varbi.com/en/what:job/jobID:887298/type:job/where:39/apply… Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical sciencesYears
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–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience collaborating in interdisciplinary research teams A doctoral
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highly interdisciplinary setting combining microbial mutagenesis assays, mammalian cancer models, next-generation sequencing, bioinformatics, and machine learning. Experimental data will be integrated with
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,” available at https://www.bth.se/english/about-bth/work-at-bth/vacancies . The position requires authorization to work with classified data. Security screening may be conducted on the selected candidate
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: October 2026 Full call details, eligibility criteria, application templates, and a matchmaking platform for identifying potential supervisors are available at: https://www.scilifelab.se/data-driven/ddls
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at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24 months, with the possibility of extension. Scope: 100% Start date: As agreed
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imagine recruiting either a postdoc with thorough training in biochemistry structural biology who is eager to learn virology, or a postdoc with a strong background in molecular, mechanistic virology who is
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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
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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