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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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and families. The successful candidate will join a highly collaborative research team using linked employer–employee administrative data, including healthcare use data, and state-of-the-art econometric
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E-Sports are competitive sports in virtual environments, where participants compete at amateur and professional tournaments, as well as socially, with top competitions attracting large audiences and
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for these architectures remains a key challenge. This project will explore how reconfigurable/spatial computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and
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) for analyzing large data sets Place of work: Umeå Forms for funding or employment: Employment as PhD student (4 years of education) Starting date: The preferred starting date is 1 May 2026, but flexible according
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layers, using transport and optical techniques to measure the relevant properties. They will have the opportunity to work with two large-scale facilities which the research division is responsible
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; Forkel et al., Nat Geo, 2025). The student will benefit from access to empirical and remote-sensing data from complementary projects funded through two UK’s Natural Environment Research Council large
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large language models for spec-driven development. Validating your ideas through empirical studies, prototypes, and real-world data. Why is this challenging and meaningful? You will work at the frontier
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large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce ), was created
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genetics and data from real-world forestry to better understand how trees grow and adapt. It is perfect for you who want to combine hands-on field sampling, lab-based DNA work and big-data analysis. WIFORCE