400 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Sweden
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- Chalmers University of Technology
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- Karolinska Institutet, doctoral positions
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- University of Gothenburg, Department of Education, Communication and Learning
- University of Skövde
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%) at the basic and advanced levels. Rules and benefits for doctoral students in Sweden apply to this employment. Research focus The need for self-learning and decision-support systems is important in today's
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do not have a formal training in teaching and learning in higher education, you must complete such training within two years of taking up the position. University of Gothenburg offers courses in
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are considered as other qualifications: Practical experience from statistical signal processing or machine learning. Experience with mathematical modelling and analysis of wireless communication systems. This also
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. Short description of the Department can be found here https://www.umu.se/en/department-of-culture-and-media-studies/ The discipline of Ethnology at Umeå University maintains a well-established research
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accepts the position is therefore expected to have acquired sufficient knowledge of the Swedish language (spoken and written) within two years to be able to teach in Swedish and to participate actively in
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for Herbarium GB. If you do not have a formal training in teaching and learning in higher education, you must complete such training within two years of taking up the position. The University offers courses in
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researchers develop new machine learning (ML) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division , our group
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and mixed-signal design, and thus broaden and strengthen our expertise in the design of electronic systems. You will also develop and teach courses in electronics design at the bachelor and master
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qualifications portfolio including a description of your research plan, both presented in accordance with Karolinska Institutet’s template (http://ki.se/qualificationsportfolio ). You may change or add to your
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/NIR) for separation and material sorting, and use machine learning for process optimisation and performance prediction from fiber to finished product. Functional processing of recycled materials and AI