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Field
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cohorts and data generation resources through highly collaborative clinical faculty. Ideal candidates will have expertise in computational modeling, machine learning, or algorithm development, with
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the robot and sensors. You will evaluate the methods for completeness, robustness, and runtime on representative datasets and iteratively improve both the setup and the algorithms. What you contribute Very
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algorithm development, numerical methods, or high-performance computing. Proficiency required in Python/C++ and scientific libraries (e.g., NumPy, SciPy). MATLAB is also desirable. Bonus: Familiarity with X
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functions, and optimization algorithms, ensuring students gain practical skills using frameworks such as PyTorch, preparing them for advanced AI studies. Responsibilities include: Delivering high-quality
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with basic algorithms and tools used in NLP and IR. The course also explores practical applications, including search engines, chatbots, and text classification systems. It will also present and refresh
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6 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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Full-time: 35 hours per week Fixed-term: 30th June 2026 Applications are invited for research associate positions in Algorithms and Complexity, funded by the European Research Council (ERC
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exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep learning models, which find application in image-based science, including in
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, the objective of this thesis is to develop and test a real-time, tightly-coupled traversability algorithm that fuses information from both sensor modalities, therefore providing a more complete understanding of
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algorithms that explicitly account for noise and limited precision inherent to photonic systems, and stronger coupling to real-world application layers through system-level demonstrators. Therefore, within