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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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both a learning environment and a social arena. Against the backdrop of increasing polarization recent policy developments concerning school safety and crime prevention Schools Against Crime (SOU 2024:14
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
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proven experience, an area that has been strengthened by the national initiative ULF (Development, Learning, Research). Learn more here: https://www.umu.se/en/department-of-creative-studies/research
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experience with machine learning approaches Since the project involves interactions with other team members or collaboration partners, very good communication skills, both oral and written, in English are a
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data analysis, such as signal processing, modeling, statistics, or machine learning Excellent written and verbal communication skills in English, particularly in a research context It is meriting to have
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plant systems. Very good written and oral English language skills. Merits We do not expect the selected candidate to be proficient in all of the following from the outset, but they should be eager
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics