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(Master 2 level). We seek solid programming and IT skills, along with good communication abilities and an appetite for interdisciplinary work (AI applied to healthcare).
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competences in Artificial Intelligence models, medical image processing, and mathematical modeling (Master 2 level). We seek solid programming and IT skills, along with good communication abilities and an
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programming (GPU, multi-threaded, etc.) is a plus, especially with the Kokkos library or equivalent. You are autonomous and you wish to be part of an interdisciplinary work team. Salary and benefits The CEA
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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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on optimization) and in general be keen on using mathematics to model real problems and get insights. He should also be knowledgeable on machine learning and have good programming skills. Previous experiences with
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown
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datasets [10, 11]. It will also be tested on the autonomous vehicles of the ACENTAURI team. 3 Work Plan The work of this postdoc includes: - Studying the state-of-the-art of LiDAR-camera fusion and VLM
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training around all of these aspects for researchers and engineers The essential expected skills are: Good practice of Unix/Linux system and system administration Good programming experience (C/C++, Python
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) based on various libraries. It is developed in modern C++ and offers C, Fortran, and Python application programming interfaces. PDI offers a reference system similar to Python or C++’s shared_ptr with