848 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Sweden
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community and international contacts. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Research subject: Animal Science Description: Sleep is a
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perform 3D single-particle tracking and establish pipelines to characterise the particle motion using a combination of established tracking algorithms and machine-learning-based approaches. Additionally
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application: Experience in system identification and machine learning is a merit. What you will do Perform research, developing your own scientific concepts and communicating the results of your research
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH
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, course administration, and supervision of doctoral students, in both Swedish and English. If you are not initially able to teach in Swedish, Swedish language training aimed at achieving this competence
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include teaching lessons, supervising in the computer lab or during laboratory exercises, and other tasks, including correcting reports, quizzes, etc. About you To be employed as an amanuensis, you must
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Uppsala. Read more about the department: Department of Forest Bioeconomy and Technology | slu.se Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
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interact with owners, students and colleagues. You also need to meet the requirements for approval as a resident according to EVCS guidelines (see information brochure on the ECVS website, https
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methodologies from field and greenhouse experiments to genetics, genomics, phenomics, gene editing, biochemistry, physiology and modelling. For more information about the department or division visit: https
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knowledge and technical interest. Experience and knowledge below are seen as merits: Experience with electronic hardware and understanding safety-compliance rules Knowledge in additive manufacturing Knowledge