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Field
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robust brain-inspired, autonomous, and cognitive systems through cross-layer analysis and design methods, engaging hardware, software, and system level techniques synergistically. Prof. Shafique’s lab has
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administered by the College of Natural Science and the College of Engineering, is one of the newest units at MSU. Founded in 2015, CMSE recognizes computation as the “triple junction” of algorithm development
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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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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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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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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