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access to preventive care and neighborhood characteristics influence long-term health trajectories. The project applies both econometric and machine learning approaches to identify high-risk groups and to
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northern Europe. Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in
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student in Statistics who can perform high quality statistical research. Apply January 6, 2026, at the latest. We are seeking a PhD student within the WASP-HS project “Machine learning to study causality
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Sciences has 45 academic staff and is based at the Kalmar campus. The department is a dynamic environment for knowledge creation and learning, offering education and conducting research in biomedical science
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on the following assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power
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offer a collaborative environment for translational biomedical research. The doctoral student project and the duties of the doctoral student The use of chimeric antigen receptors (CAR) in T cells has
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English, but learning Swedish is encouraged to participate in outreach and stakeholder events. The position includes a competitive salary and full benefits – including generous vacation time and parental
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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also linked to a broad, interdisciplinary network of researchers in several European countries and in the United States, particularly within experimental studies using cell and animal models, with
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studies using cell and animal models, with the aim of increasing knowledge of the biological mechanisms that may explain epidemiological associations observed in the SELMA study. Link to article Within