407 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" uni jobs in Sweden
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following areas: AI and machine learning, natural language processing, large language models (LLM), experience in designing prompts, fine-tuning LLMs, or distributed systems. Good knowledge in one or more of
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of the SciLifeLab Integrated structural biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis
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fields, where negative ions are the common denominator. In this vacancy the remaining position will be announced. Students enrolled in the program will acquire a comprehensive skillset that is relevant
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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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Learning and Control Laboratory , an interdisciplinary research group doing basic and applied research at the intersection of cybersecurity, control theory, and machine learning. Our vision is to develop
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focus on technology foresight developing data-driven approaches for probabilistic modelling of new technologies; a second will focus on policy analysis leveraging machine-learning approaches
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an agreed establishment period, to acquire sufficient proficiency in Swedish to participate in all first-cycle mathematics courses at LTH. Lund University is a public authority which means that you receive
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Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep mathematical theory
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years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from May 25, 2025). Doctoral studies require physical presence
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slowdown at the glass transition, remains a major computational challenge. This Doctoral student project addresses this by combining generative AI models and machine-learned interatomic potentials