298 structures "https:" "https:" "https:" "https:" "https:" "Robert Gordon University" research jobs in Sweden
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within research and education. The following will strengthen your application: Familiarity with any of: molecular simulation methods (integrators, force fields, enhanced sampling), structural biology
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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other document to which you would like to draw attention (copies of grade transcripts, details of referees, letters of recommendation, etc.)” Welcome to apply! Where to apply Website https://lu.varbi.com
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, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work
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. This involves using cutting-edge microscopy and spectroscopy to investigate their unique electronic, structural, and plasmonic properties. Project 2: Exploring the synthesis of metallene layers sandwiched between
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- Ångström Laboratory Research Field Chemistry » Structural chemistry Chemistry » Computational chemistry Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 8 Jan 2026 - 22:59
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construction, strong bioinformatics skills, and a proven track record of molecular and cell biology studies, preferably documented by publications and/or thesis work in this area. Experience with antibiotic
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of grades, information for references, letters of recommendation, etc.). Where to apply Website https://lu.varbi.com/en/what:job/jobID:908809/type:job/where:39/apply:1 Requirements Research FieldMedical
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, infrastructure construction, acid sulphate soils and sulphide-bearing rocks. Special focus is put on Critical Raw Material (CRM, incl. e.g. PGE, REE, W, V) mobilization in the environment. Our research group has a
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models