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using LLMs in therapeutic settings: data confidentiality, algorithmic biases, and limitations in contextual understanding. Study the acceptance of these tools by both patients and healthcare professionals
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14 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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6 Research Professors (DR2). Competitive entry is open for research themes pertaining to Physics M/F
14 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile Established Researcher (R3) Country France
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6 Research Professors (DR2). Competitive entry is open for research themes pertaining to Physics M/F
6 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile Established Researcher (R3) Country France
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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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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
to learning algorithms and targeted applications the integration of various elements enabling data collection and deployment on humanoid robots We are looking for experienced engineers (2+ years) who will be
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reference features for machine learning (AI) algorithms. The successful candidate will work as part of a multidisciplinary team of archaeozoologists and mathematicians. The mission will be based at the CEPAM
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Python-based frameworks or a web application) enabling image upload, AI-based analysis, and visualization of bacterial phenotypes. Perform image analysis using existing deep learning algorithms developed
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of market-making algorithms (for threshold selection, and finding the optimal size of windows/batches)
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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems