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Field
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during field measurements, capture high-resolution imagery of cloud droplets and ice crystals to determine their size distributions and types. The resulting large datasets (often several terabytes
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management by co-supervising bachelor and master thesis. The researcher will be supervised by Prof. Colette Heald. Profile Applicants should hold an PhD degree in atmospheric science, earth science
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into practical solutions in close collaboration with our interdisciplinary team and external academic and industry partners. Responsibilities also include supporting master's and PhD students, publishing in peer
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The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University
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, future projects will also involve patient cohorts. We are currently seeking a motivated and skilled PhD student to join our team. Project background This project focuses on neuromodulatory systems (and the
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Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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-read (Illumina) and long-read (Nanopore) platforms; implement hybrid metagenomics assembly strategies using high-performance computing infrastructure • Coordinate/supervise sample collection (clinical
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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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circuits where relevant; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly and contributing to publications