853 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Sweden
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. Where to apply Website https://lu.varbi.com/en/what:job/jobID:906273/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical
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cases, this can be slightly prolonged). The position will be placed at Timur Shegai's research group at Chalmers. You can find more information about the group at: www.shegai-lab.com or https
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application with the reference number below. Final day to apply: 27 April, 2026 Reference number: 2450-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator
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here Want to make a difference? Join us and contribute to better health for all Where to apply Website https://kidoktorand.varbi.com/en/what:job/jobID:914443/type:job/where:39/apply:1 Requirements
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us and contribute to better health for all Where to apply Website https://kidoktorand.varbi.com/en/what:job/jobID:910639/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation
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Website https://uu.varbi.com/en/what:job/jobID:911571/type:job/where:39/apply:1 Requirements Research FieldTechnologyEducation LevelPhD or equivalent Research FieldTechnologyYears of Research Experience4
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– forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14661&rmlang=UK
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value chains to enable AI-based applications, using methods and models from e.g. operations research, data analytics or artificial intelligence/machine learning. Identify, structure and prioritise
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an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https://academicpositions.com
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-energy devices. Using state-of-the-art electronic-structure calculations and machine learning methods, you will model these effects and contribute to the design of improved semiconductors for solar cells