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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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: A PhD degree, or a PhD nearing completion, in environmental, civil, chemical, mechanical, or architectural engineering, aerosol science, atmospheric science, exposure science, or another closely
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encouraged to apply. Profile Strong candidates will have: A PhD degree, or a PhD nearing completion, in environmental, civil, chemical, mechanical, or architectural engineering, aerosol science, atmospheric
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, and PhD and master student supervision Profile PhD (or nearing completion of) Background in experimental neuroscience, computational neuroscience, and/or robotics Strong computational and analytical
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of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
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, OSDI). We are looking for a candidate who is comfortable "looking under the hood" of the operating system. You do not need prior experience with optics. PhD/Masters in Computer Science, Electrical
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special issues. Contribute to the supervision and the day-to-day scientific support of the PhD student working on WP1. Required profile Education and experience PhD in geography, urban planning, spatial
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For both positions: Conduct innovative, independent research aligned with the lab's mission and the candidate's interests Contribute to the lab's open-source software, datasets, and benchmarks Mentor PhD and
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a new research collaborator with a PhD in building technology, preferably in the field of building materials and/or building envelope performance and/or building renovation. The candidate must be
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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field