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scientific excellence in the areas of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate
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are most important for the use of solar energy. https://www.epfl.ch/labs/sci-enac-as/ Main duties and responsibilities As a PhD Student, you will be expected to: Assume full responsibility for your
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tailor their work toward one or more of these focus areas, depending on their expertise and interest. They will also support parallel developments led by PhD students, ensuring coherence in the beam
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niobate photonics platform, which we can fabricate in-house, at EPFL, to realize efficient and low-foot print frequency converters. In parallel, you will study the performance of these devices at
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acquisition for single-particle analysis (SPA) and cryo-electron tomography (cryo-ET) On-the-fly and offline data processing, advanced image processing Structure determination and interpretation As a cryo
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efficient, secure and scalable processing, management and delivery of genomic data and analytical resources. Main duties and responsibilities • Define and maintain the technical roadmap supporting the
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): Familiarity with Network Interface Cards (NICs) or packet processing (eBPF, XDP). Experience bringing up custom hardware boards. We offer A stimulating and international working environment Competitive
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experimental systems, physiological sensing, signal processing, human movement analysis, computational neuroscience, biomedical engineering, data science, and/or advanced quantitative behavioral
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and processing strategies that can enable the fabrication of a wide variety of advanced functional materials and devices. We are seeking a candidate with experience either in a) the development of
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accessible chemistries and processing strategies that can enable the fabrication of a wide variety of advanced functional materials and devices. You will be working on a project whose goal is to