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of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly
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and AI to efficiently design safe systems. This is a postdoctoral position in the fields of AI planning, reinforcement learning (RL), and formal methods. The position is initially funded for 12 months
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on foundational models, multi-modal protein embeddings, and reinforcement learning for protein design. Preclinical Validation (Freiburg): Use of microscopy for screening and organoid models. If successful, we would
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in model-based reinforcement learning to join the Computer Science and Networks (INFRES
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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, decision-making and control using data, have been proposed. For control or management applications, reinforcement learning (RL/DRL), a branch of machine learning, is a promising solution that involves
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mandatory fields (*) and kindly use “Provably Safe Reinforcement Learning” as the “Title of Position”. Please do not include a cover letter. Further similar job offerings will be announced on https
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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generation into dairy farming, by combining it with recent technological developments in the energy sector. This project will investigate a range of topics relating to AI (deep learning, reinforcement learning
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include, but are not limited to, holistic risk management strategies, forward preferences, reinforcement learning, as well as centralized and de-centralized risk sharing. Inquiries about the position should