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experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and
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: 6110051 Academic Enrichment Teacher Job #: 041682 Location Syracuse, NY Pay Range: $35.00 per hour Hours: Saturday Learning Academy: 9:00 am-1:00 pm Monday-Friday 5:00 pm-7:00 pm as scheduled by the Program
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Job Description Are you an established researcher in probabilistic machine learning, with a passion for developing robust, trustworthy, and explainable AI methods for applications in science and
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at the interface of biostatistics, machine learning, and biomedical data science. This mentored postdoctoral position is designed to support the development of an independent research trajectory in methodological
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 15 days ago
Job description:Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500
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advanced analytical and statistical techniques to extract actionable insights from complex datasets. Train, evaluate, and continuously refine deep learning and machine learning models, prioritising
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: Algorithm. Software architecture. Machine learning. Professional Experience: In programming and/or research, image processing, machine learning. In topics of machine learning applied to wireless
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compiling information on a current topic in the field of machine learning. Researching and implementing novel machine learning and computer vision approaches. Self-critical evaluation of the obtained results
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 13 days ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for
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design and realization, including machine learning (ML) and artificial intelligence (AI) applications, autonomy, cognitive and distributed sensing and communication, advanced manufacturing, and decision