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, Machine Learning , Neutrino , Neutrino physics and Astrophysics , Phenomenology , Quantum Field Theory , Theoretical Particle Physics , theory , Lattice QCD Appl Deadline: 2025/12/01 11:59PM (posted 2025
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | about 2 months ago
LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD or equivalent Skills/Qualifications Must hold a Ph.D. degree in Mathematics / Computer science or Machine Learning. • Be able to work within
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learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https://main.hercjobs.org/jobs/21798265/associate
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description A central challenge in machine learning is ensuring
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Position Summary The Seáñez Lab is seeking a postdoc to work on a project aimed at understanding changes in neural excitability induced by spinal cord stimulation and motor learning
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Position in Probabilistic Machine Learning
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development) including robotics, computer vision, natural language processing, information organization and retrieval, biomedical application and machine learning. Author of at least 2 research papers in topics
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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of scholars, from sociology, anthropology, philosophy, history, and political science. The Centre is currently home to 14 permanent academic staff, 3 postdocs, 20–30 doctoral fellows and a number of affiliated