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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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the discipline of bioinformatics, data analysis of large-scale (bio)medical data, applications of artificial intelligence and machine learning. You contribute to high-quality teaching in bachelor and master years
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UiO/Anders Lien snarest språk English English English PhD Research Fellow in reinforcement learning for generative systems in physics at the INTED Center søk stillingen se annonse About the position
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and control, robotic manipulation, multimodal learning for robotics, reinforcement learning. Tenure-track hires at INSAIT are eligible to participate in the INSAIT-MIT CSAIL Joint Research Program, a
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from animal studies to humans) in drug discovery, dynamical systems for long-horizon time series forecasting, and verifiably safe reinforcement learning. While both PhD positions are part of the same
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/en/available-jobs/job/294737/phd-research-fellow-in-reinforcement-learning-for-generative-systems-in-physics-at-the-inted-center Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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, Transfer Learning, Deep Reinforcement Learning, and Transformer-based models, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical
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Learning-enabled control and reinforcement learning Power system operations, planning, and electricity market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows
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teaching interests complement and/or reinforce our existing strengths: https://www.yu.edu/yeshiva-college/ug/jewish-studies and https://www.yu.edu/revel/faculty . The teaching load for the position is three
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intelligence (e.g., reinforcement learning for scheduling, congestion control, link adaptation, and cross-layer optimization). The exact research direction will be refined based on the candidate’s background and