399 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs in Sweden
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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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teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. As you prepare to move to Sweden, we offer
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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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duties mainly involve research and teaching. The position includes the opportunity to undertake five weeks of training in teaching and learning in higher education. Work duties include: Research within
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which you may be promoted to a tenured position as a senior lecturer, with opportunities for further career advancement You will receive five weeks of training in teaching and learning in higher education
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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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to professor. You will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international
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will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff
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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