899 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions in Sweden
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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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doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description ELLIIT (https://elliit.se ) is a strategic research
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. Previous experience with machine learning applications in molecular modelling, including experience with at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous
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of job advertisements. URL to this page https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef950c393a904293789&lang=UK&rmpage=job&rmjob=28850&rmlang=UK
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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teaching and learning. The work duties include: The post-doctoral fellow will investigate how stellar and geomagnetic information is sensed and processed by the Australian Bogong moth Agrotis infusa, a model
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Swedish or English. Closing date for applications: April 14, 2026 Reference number: 2625-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8
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within applied mathematics, materials science, physics and building science. Mathematical statistics is an important part of these four areas of research. Relevant applications include machine learning
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-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=10072&rmlang=UK
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to act as references. A brief research statement (1-4 pages) outlining your research interests, including previous work and independent research plans. Applications to be made at https://web103