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languages). • Experience with Linux environments, workflow management systems, containerization technologies and cloud or high-performance computing infrastructures. • Familiarity with genomic data
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) synchrotron located at the Paul Scherrer Institute (PSI). You will be a core member of the SNSF Starting Grant project NEXUS-3D, working at the intersection of applied physics, high-performance computing, and
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) synchrotron located at the Paul Scherrer Institute (PSI). You will be a core member of the SNSF Starting Grant project NEXUS-3D, working at the intersection of applied physics, high-performance computing, and
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, immunohistochemistry, and fluorescence microscopy Contribute to the day-to-day operation of the laboratory as needed Profile Diploma from a laboratory technician program or equivalent qualification Accreditation to work
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Institute (PSI). You will be a core member of the SNSF Starting Grant project NEXUS-3D, working at the intersection of applied physics, high-performance computing, and semiconductor metrology. The successful
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teaching in key computing areas, including High-Performance Computing (HPC), Artificial Intelligence and Machine Learning (AI/ML), scientific computing, trusted research environments, storage, and data
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therapeutics. Main duties and responsibilities As a postdoctoral researcher in this program, you will be expected to develop a high quality research program, in close collaboration with partners of the SATURNA
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the implementation of the system's data plane, applying embedded design principles to high-performance networking: SmartNIC & FPGA Programming: Implement real-time flow steering logic on devices like
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administrator and software developer is to provide high-level IT and administrative support to members of its community across the 5 founding partner institutions (CHUV, UNIL, EPFL, UNIGE, and HUG) and develop
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habitual control. It will then test how acute stress alters these processes, combining behavioral performance, physiological monitoring, movement-based phenotyping, and advanced statistical and computational