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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD topic is funded
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on several aspects to explore in parallel: - Develop the experimental set-up to enable Low-Energy SAXS measurements on Attolab’s set-up (through punctual mission (2 or 3 times a year for 1 to 2 weeks
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degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel
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learning, focusing on identifying abrupt shifts in the properties of data over time. These shifts, commonly referred to as change-points, indicate transitions in the underlying distribution or dynamics of a
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statistics and machine learning, focused on identifying abrupt shifts in the properties of data over time. These shifts, known as change-points, indicate transitions in the underlying distribution or dynamics
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fields for several applications in the field of computer vision and inverse problem [SLX+21]. As far as the modeling of data term between distributions is concerned, one idea would be also to follow
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will be considered a plus: Data analysis libraries such as Dask Knowledge and experience with Python, Fortran and/or GPU computing HPC and parallel libraries such as OpenMP and MPI HPC parallel IO
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22 Aug 2025 Job Information Organisation/Company UNIVERSITE DE LILLE Research Field Computer science » Informatics Computer science » Programming Computer science » Computer systems Computer
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6 Sep 2025 Job Information Organisation/Company UNIVERSITE DE TOULON (VAR) Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate