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. Our goal is to bridge these cutting-edge laser technologies with clinical practice, developing solutions that enable accurate and real-time diagnosis and therapies. Project background The principal aim
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plasticity at the atomic level. At the center of this regulation lies PGC-1α, a transcriptional co-activator and master regulator of metabolic processes. PGC-1α dysfunction has been linked to obesity, diabetes
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of the University of Pennsylvania. The position involves working with firm-level supply chain, ESG, and financial data to build the main dataset for the project, conducting statistical analyses, and contributing
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technologies with clinical practice, developing solutions that enable accurate and real-time diagnosis and therapies. Project background The principal aim of this SNF BRIDGE-funded interdisciplinary project
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skills to collaborate across disciplines. Must haves for PhD (all tracks): A master's degree and outstanding academic record from a top university in Materials Science, Mechanical Engineering, Electrical
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students and employs around 5’000 researchers, teachers and technical staff. Life sciences and medicine is one of its three main axis of research, together with social and environmental sciences. The hosting
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skills to collaborate across disciplines. Must haves for PhD (all tracks): A master's degree and outstanding academic record from a top university in Materials Science, Mechanical Engineering, Electrical
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interdisciplinary project will be conducted in collaboration with several Swiss hospitals, offering a potential translation of scientific advancements into practical applications. Your tasks The primary focus
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Excellent microscopy skills (confocal, multiphoton, and ideally light-sheet imaging) Hands-on experience with primary endothelial cell culture and standard molecular techniques (flow cytometry, Western blot
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data