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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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(I3S), Sophia Antipolis Hosting lab: I3S & INRIA UniCA Apply by sending an email directly to the supervisor: emanuele.natale@univ-cotedazur.fr Primary discipline: Machine Learning Secondary discipline
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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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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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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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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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machine learning tools. The postdoctoral fellow will contribute to various aspects of the project, such as: * developing new theoretical and numerical approaches for determining the thermodynamic and
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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
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, clustering analyses, propagating location and other uncertainties...) of mid-ocean ridge catalogs, using standard, Bayesian and machine learning techniques. ⁃ Implement methodologies that improve estimates