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Field
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Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record of research in areas such as algorithmic fairness, bias in machine learning, ethics in AI
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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages
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metabolomics data analysis or QTL analysis and quality control would be a plus Experience in the development and/or implementation of algorithms and/or computational pipelines Background/experience in building
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26 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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fusion (lidar, camera, IMU), embedded programming, and/or real-time computing? Are you ready to push the boundaries of autonomous navigation in challenging environments like forests and off-road terrains
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), embedded programming, and/or real-time computing? Are you ready to push the boundaries of autonomous navigation in challenging environments like forests and off-road terrains? Join our innovative project
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Deadline 27 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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Requirements REQUIRED: Ph.D. in computer science, mechanical engineering, applied math, or related field with significant research experience in machine-learning/AI algorithm development, specifically in deep