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Deadline: 31 October 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
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bridge cutting-edge academic research with real-world industrial applications. Job description The position offers the possibility of a PhD, which will be supervised by Prof. Mirko Meboldt at ETH Zurich
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. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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Computer Science, Information Science, and Artificial Intelligence and a number of research Master's programmes in these fields. It employs over 200 people, working in four divisions: Algorithms, AI & Data Science
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School of Physical and Mathematical Sciences (SPMS) Nanyang Technological University, Singapore Associate Prof / Full Professor in Optimization, Control, and Scientific Computing Young and research
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Classification Title: AST PROF Classification Minimum Requirements Candidates for this rank shall hold the highest degree appropriate to their field. A candidate shall be expected to demonstrate
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. Builds internal code design and development guides for future contributors, Conducts quality assurance to ensure the reproducibility of analyses, documentation of methods and algorithms, and use
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independent investigators) are available in the Das Laboratory Candidates from all areas of science and engineering with relevant experience are welcome to apply. Contact Prof. Das (mdas@uh.edu) for additional
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include