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28 Feb 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Mathematics » Algebra Researcher Profile Recognised Researcher (R2) Application Deadline
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methods for such problems. The doctoral student position involves graduate studies with the goal of a doctoral degree (for more details, see the information about the doctoral program in Applied and
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information about third-cycle studies at Sahlgrenska Academy, see https://www.gu.se/en/sahlgrenska-akademin/doctoral-studies Project: The doctoral thesis will focus on food environments as determinants
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equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general information about
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Research FieldLanguage sciencesYears of Research Experience1 - 4 Research FieldPsychological sciencesYears of Research Experience1 - 4 Additional Information Website for additional job details https
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Information Work Location(s) Number of offers available1Company/InstituteKarolinska Institutet (KI)CountrySwedenCitySolna Contact City Solna Website https://ki.se/en/about/jobs-at-ki STATUS: EXPIRED X (formerly
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Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg | Sweden | about 2 months ago
. For more information see https://www.gu.se/en/research/roger-karlsson Doctoral studies comprises four years of full-time study, and leads to a doctoral degree. Eligibility Doctoral education requires general
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development projects as well as two international master programs. More information is available on the Institute's website www.iiiee.lu.se. The working language of the Institute is English. Being a doctoral
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research, including e.g. plant-based meat analogues, carbon capture and formulation and purification of biopharmaceuticals. The Membrane group (https://www.membranegroup.lu.se/) at PLE is the most
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification