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Field
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; parallel/distributed programming and/or solid UNIX skills Proven experience operating Machine Learning (ML) in production. Able to design, automate, and maintain end-to-end ML lifecycles, including
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 days ago
23 Oct 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 25 days ago
We welcome candidates with a master (or equivalent title) in computer science, experience with parallel programming, distributed data processing, deep learning or numerical solvers. Expected
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, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with
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and integration of fields of astronomy, planetary sciences, biological sciences, humanities, social sciences, arts, and more to explore the origins, evolution, distribution, and future of life on Earth
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Languages, Machine Learning, Data Mining, Data Processing, Statistics, artificial intelligence, parallel and distributed systems, cryptography, computer and network security, computer vision, image processing
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. The department’s 26 tenured/tenure-track faculty conduct state-of-the-art research in topics including artificial intelligence, cybersecurity, distributed systems, and parallel and scientific computing, and engage
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range of areas including but not limited to Artificial Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and
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the applicants, in the disciplinary area of the tender, preferably in the scientific areas of Computer Security or Parallel and Distributed Computing and its adequacy to the category of Assistant Professor
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/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Machine Learning libraries such as Tensorflow or PyTorch Serial and parallel