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, spatial transcriptomics). You like to work in a diverse setting and communicate closely with a diverse and multidisciplinary team (i.e. neuroscientists, chemistry). You are a team player and a pleasant
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combine high-level research with the development of innovative solutions to promote a sustainable mindset and practices. By integrating expertise from multiple disciplines and fostering international
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to the collected dataset. Deep learning will focus on physics-based features developed earlier. Convolutional layers will be used to extract spatial patterns, while LSTM layers will capture temporal aspects across
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imaging with image analysis, and spatial genomics and proteomics. The position will be responsible for participation in seminars, professional development opportunities, manuscript preparation and
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Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
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Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
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” and “Smart Mobility” (Google Scholar), he has received multiple prestigious international awards, including the IEEE CASE Best Conference Paper Award, INFORMS QSR Best Student Paper Award, and INFORMS
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development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and
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, however, these may not always be able to provide the spatial and/or temporal coverage that is required. In such cases, information from ground measurements can be combined with information from other
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and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial