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) | Working hours: 20,00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 31.03.2032 Job ID: 5115 Explore and teach at the University of Vienna, where over 7,500 brilliant minds
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O’Shea (Woods Institute) Stanford Departments and Centers: Woods Institute Postdoc Appointment Term: Initial appointment is one year, with a second year contingent on funding, results, and mutual agreement
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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artificial intelligence—especially deep learning—offers transformative potential for developing next-generation earth system models. Recent breakthroughs, such as neural network-based short-to-medium term
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Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application
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. Panagiotis Papadakis and Associate Prof. Mihai Andries Keywords: Deep learning, event cameras, human skeleton, pose estimation, action recognition Where to apply Website https://imtatlantique.fillout.com
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decision-making in multi-agent autonomous systems by leveraging and combining deep-learning based motion predictions and optimization-based motion planning. Key research questions include multi-modal
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SPECIFICS Postdoctoral Scholar – Public Health Sciences Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking postdoc scholars
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to streamflow as a function of climate and landscape controls, using deep learning and explainable AI Communicate and discuss results with stakeholders to integrate the findings into water management
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or experimental research involving passive, active, specialty, or telecommunication optical fibers, or in modeling linear and nonlinear phenomena—including the use of deep learning methods—in the field of optical