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of the group. Strong knowledge of performance modeling, simulation, and benchmarking of parallel and distributed computing systems and of the workflow systems that run on them. Familiarity with the FAIR data and
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application! Work assignments Research focus: implementation of an evidence-based digital support programme delivered through 1177 for informal caregivers of people with heart failure, combined with user
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and Product Development, where multiple externally funded research projects are conducted in parallel in close collaboration with industry, public authorities, and international partners.The successful
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Teaching Program Coordinator About the Role The NLP & AIMM Labs at EPFL are looking for a
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of neurodegenerative disease Familiarity with git and GitHub Competence using Linux-based high-performance parallel computing systems Other information This is a special fixed-term position (SÄVA) of 6 months, 100
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parallel computing with a 90-processor heterogeneous Linux cluster. We have also recently installed a cryo-electron microscope, the only instrument of its kind within the greater 5-state, Northern Plains and
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accuracy Computer literacy Preferred Qualifications Experience and demonstrated skill with using the teaching method of asking questions for self-discovery Strong facilitation skills Clear and concise
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modeling with an understanding of numerical methods and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
summer professional program; prepare and edit professional documents (correspondence, journal articles, grant materials); ensure proper formatting and references; coordinate with journals on submissions
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-checked security guarantees. In parallel, we will investigate how modern AI techniques can accelerate large-scale formal verification, developing AI proof agents that can maintain, extend and refactor