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perception for robotics; machine learning. o An interest for approaches based on foundation models. o Proficiency in open-source libraries: Pytorch or equivalent, OpenCV, Open3D, PCL, etc. o Programming
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, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management
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information processing system in a standard telecommunication laser diode. Experiments on semiconductor laser dynamics, coding machine-learning concepts. Writing manuscripts. ERC CoG INSPIRE Where to apply Website https
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. • Strong knowledge of signal processing methods and machine learning. • Familiarity with regulatory and ethical constraints in research involving sensitive data. • Ability to work closely with
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results in leading conferences and journals Required Qualifications PhD in one of the following areas (or related fields): Machine learning / deep learning Quantum computing / quantum information Applied
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analysis, multi-omics analysis, differential analysis, machine learning methods. Definition of tasks to be performed: Fixed-term contract essential to carry out the bioinformatics part of the project
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diagnosis6 . Objectives: The goal of the internship is to conduct pilot analyses to investigate the potential of machine learning approaches to infer latent neuroimaging phenotypes displaying maximum fit with
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are particularly interested in candidates who combine computational biology, data science, and machine learning/AI with deep biological insight. While wet lab activities are welcome, they are not mandatory. However
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to its activities, see https://csd.ens.psl.eu The Laplace chair aims at recruiting outstanding candidates in all areas of data sciences including theoretical statistics, machine learning, deep learning