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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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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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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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): 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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towards the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing. Proof assistants such as Lean
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D
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for tomography, laminography, or a closely related modality. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Excellent written and oral
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, environmental sciences or a related field, obtained (or close to completion) at the time of appointment. Solid experience in remote sensing and satellite image processing (Sentinel-2, MODIS, Landsat