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with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning
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evaluate the contributions using simulations and experiments with physical robots. For this project, you need to be comfortable with mathematics and hold a degree in Computer Science, Applied Mathematics
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around 100 dedicated colleagues, including researchers, PhD students, and technical staff. Our physical location at the Department of Chemistry offers a vibrant campus life with diverse areas of expertise
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is required. Your workplace The Thin Film Physics Division carries out research, undergraduate and postgraduate education within materials physics. https://liu.se/en/organisation/liu/ifm/tunnf
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, and administrative competence relevant to the discipline; particular emphasis will be placed on teaching competence during the review process. The applicant must demonstrate teaching expertise relevant
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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phase-field modelling elucidate the mechanisms at play. Where to apply Website https://su.varbi.com/ Requirements Research FieldChemistry » Physical chemistryEducation LevelMaster Degree or equivalent
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. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning, and works on
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22 Aug 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Physics
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sustainable future, including but not limited to, studies related to new technologies, process integration and policy measures, as well as overall energy system aspects at local, national and supranational