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at: https://www.umu.se/en/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 models
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as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance
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cohorts and biobanks from international collaborators. To secure and further develop this important collaboration, we are now recruiting a senior applied researcher with a strong quantitative profile and
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bounds and deriving reliable safety guarantees. This project will aim at filling these gaps. Who we are looking for The following requirements are mandatory: A doctoral degree or an equivalent foreign
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logistics and safety considerations - Conduct systematic field mapping, structural measurements, and representative sampling of outcrop and/or drill core. - Integrate field observations into regional
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independently, including logistics and safety considerations. - Conduct systematic structural measurements, kinematic analyses and representative sampling. - Integrate field observations into regional geological
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of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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substantial responsibility for planning and execution. The successful candidate will: - Plan, organize and execute field mapping campaigns independently, including logistics and safety considerations. - Conduct
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and execution of these tasks. The successful candidate will: - Plan, organize and execute field mapping campaigns independently, including logistics and safety considerations - Conduct systematic field