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molecular biology, genome editing, and imaging techniques to study cardiovascular phenotypes. -Collaborate closely with the group leader and other team members, contributing to project planning, data
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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from vascular lesions and blood, combined with genetic, clinical/epidemiological and imaging parameters from patients. We also perform in depth functional studies in animal and cell culture models
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resonance imaging, and behavioral testing in a large sample of individuals experiencing intense grief at least twelve months after bereavement. In this way, the thesis will create a multimodal and multilevel
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. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
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. You will also characterize the eye using in vivo imaging, histology, immunohistochemistry, protein analysis, and advanced sequencing and transcriptomic approaches. Experimental therapies administered
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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-dimensional Bayesian inverse problems for image reconstruction and chemical reaction neural networks with sparsity-promoting (and edge-preserving) priors, including diffusion-based approaches. Neural solvers
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. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ WIFORCE Research School Do you want to contribute to the future sustainable use of forests
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the 2025 Nobel Prize in Chemistry. Electron microscopy and electron diffraction offer powerful tools for advanced structural characterization. Aberration correction now enables imaging with true atomic