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both method development and empirical research, the latter in collaboration with scientists from other departments. We offer a research environment with access to national and international networks. Our
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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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expertise in advanced MIP microspectroscopy and its application in cell and environmental studies Participate in method development of quantitative MIP protocols for determination of the target molecule mass
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research, school development, digitalization, academicization, sustainable development, knowledge production of practical knowledge, and values in subject practices. Gender, policy, media ecology, curriculum
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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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for a project that aims to develop luminescent carbon dots for light-emitting applications. The position is full-time for two years, starting on November 1, 2026, or by agreement. The deadline
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biologists to test model predictions, and the motivation to develop their skills at the intersection of quantitative modelling, cell biology, and algal biochemistry. Experience in parameter fitting
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affiliated researchers across various projects. You will join a welcoming and intellectually curious research environment where postdoctoral researchers are encouraged to develop their own ideas, take projects
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Northern Fennoscandia. The successful candidate will be responsible for laboratory work in this project, further developing the method for practical application to contexts in ecology and conservation. Main
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effectively within an interactive and collaborative team, to contribute to mentoring junior researchers, and to demonstrate the ability to independently develop and drive a research project. As an employee with