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Field
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directly to the upstream swt-initiative31/skija prototype, focusing on: rendering logic. layout behavior. and basic widget implementations. In parallel, they will evaluate how the Skija backend could be
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faculty hold the same academic titles as tenure-line faculty and benefit from multi-year contracts, sabbatical eligibility, a parallel promotion process, and participation in shared governance. This 9-month
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 19 days ago
. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09447 Requirements Skills/Qualifications Expected skills include Knowledge on distributed, parallel computing and numerical
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. Proficiency in statistical methods, programming (including Linux), and use of high-performance computing clusters and parallel computation is expected, along with a clear research vision to enhance the Unit’s
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infections. In addition, recent advances in massively parallel cell tracking now make it possible to address long-standing questions about how bacteria have adapted to survive in unpredictable environments
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or life sciences, computer science or related field; PhD preferred Two (2) years to three years of experience in developing parallel computing applications, libraries or software tools working with
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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office hours (one hour per week). Additionally, instructors will attend weekly planning meetings to coordinate between parallel sections taught on different days. NEUR 102 is the second half
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Requirements: The candidate must be able to demonstrate a deep knowledge of supercomputing software development for massively-parallel computer architectures, and expertise in working with large-scale software
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their compilation tools in different environments. (C++, Fortran, ...) Experience with parallel computing, cloud deployment, and network license managers (FlexLM, RLM, etc.). Strong background in