397 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs in Sweden
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deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an interest in their application to embodied systems. What
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technology, driven by high-quality research and education, openness and collaboration. As a Teaching Fellow, you will contribute to this goal through engaging teaching and learning in a collegial and inclusive
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their working language within four years of beginning the position. The department will provide support with language learning. Eligibility The applicant must: be licensed to practise veterinary medicine
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of Computer and Network Systems , we design secure, dependable and high-performance computer and communication systems that meet the demands of an increasingly digital and interconnected world. About the
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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Learning Familiarity with Computer Graphics research We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational
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biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis of protein interactions and conformational dynamics
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. Location: SciLifeLab , Solna https://ki.se/en/research/research-areas-centres-and-networks/research-groups/uncovering-the-molecular-and-physical-principles-governing-early-embryonic-division-and-nuclear
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. Please visit the following homepage for more information on the Department: https://www.slu.se/en/about-slu/organisation/departments/Animal-Biosciences/ Read more about our benefits and what it is like
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and