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to a global scale, targeting multiple oceanic bioprovinces to robustly quantify the alkalinization-attributable signal against natural carbon cycle fluctuations. The postdoctoral researcher will be
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: understanding how they can be used to reconstruct sensitive client data and designing robust defense mechanisms to protect against such threats. Context Federated Learning (FL) enables multiple clients
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inference by constraining all operations, including matrix multiplications and activations, to integer arithmetic. This line of research has already led to promising results in semantic segmentation with
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existing models, the work will extend a 2D model initially developed for the elbow to multiple joints (knee, hip, shoulder) and then generalize it to ecological 3D movements. This PhD is part of the MUSCLEE
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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)—for multiple vehicle types (light vehicles, vans, buses, coaches, and trucks). Users can customize data to reflect specific use cases, supporting more tailored and informed assessments. While VMF supports unit