115 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" uni jobs in Sweden
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- KTH Royal Institute of Technology
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- Department of Biological and Environmental Sciences, University of Gothenburg
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- Göteborgs universitet
- HDK-Valand Högskolan för konst och Design vid Göteborgs universitet
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position at the School of Science and Technology. Subject area The subject area for this position is Computer Science, with a focus on machine learning and signal processing applied to proprioceptive
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, mathematical modeling, analysis, machine learning, optimization, mathematical foundations of artificial intelligence, mathematical ecology and mathematical statistics. Qualifications To qualify as a
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placed at the Department of Computer Science ( https://cs.lth.se/en/ ) and will be part of the strategic research area ELLIIT, Excellence Center at Linköping - Lund in Information Technology ( https
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across the university. The successful candidate will also contribute to the development of teaching and learning within the subject area. The research can be based on controlled experiments as well as
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state‑of‑the‑art laboratories and dedicated mass spectrometry facilities for environmental trace analysis ( https://www.umu.se/en/research/infrastructure/tap/ ). Researchers also have access to
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great emphasis on personal qualities such as curiosity, responsibility, and ability to work in a team as well as independently, and on personal suitability for the learning and research tasks. Necessary
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teaching and learning in higher education For employment as a professor, senior lecturer or lecturer (with a period of employment longer than two years), the employee must have completed training
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, biomarkers and drug targets for early diagnosis and prevention of cancer. Your tasks include being responsible for the development and application of machine learning and statistical methods
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position. The department will provide support with language learning. Eligibility The applicant must: hhave a degree in Veterinary Medicine and be licensed to practise veterinary medicine in Sweden, or
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simulations (QM/MM and atomistic molecular dynamics simulations, free energy methods, and machine learning). Candidates with either computational and/or experimental expertise are encouraged to apply