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depth with practical skills to prepare students for both professional careers and further academic studies. Research and teaching are conducted at our campuses in Lund, Helsingborg and Malmö. More
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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are of interest. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial
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suffer from premature ageing. Lithium plating (LiP) is a dominant ageing mechanism and can cause internal short circuits, particularly during fast charging. The project aims to develop a safer, faster, and
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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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effects of providing piglets with early-life freedom of choice in how and what they forage. This work explores impacts on resilience, cognitive development, behaviour, stress physiology, health, microbiota
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Join an interdisciplinary team developing next-generation spectroscopic diagnostics for wound care. Work assignments The postdoctoral researcher will play a leading role in an interdisciplinary
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us The Department of Microtechnology and Nanoscience advances the frontiers in quantum technology, nanoscience, photonics and future electronic systems - for technical and societal development. Our
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, or agricultural greenhouse gas estimation. Proficiency in working with spatial data and geospatial tools. Interest in science–policy interfaces. What you will do Develop and apply biophysical and economic models
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farmed fish). The subject includes studies of pathogenic bacteria where traditional and molecular biological methods are used to clarify the origin of bacterial infections, pathogenesis and development