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optimize AI and machine learning algorithms for collaborative autonomy applications. Design, train, validate, and evaluate AI models using both simulation environments and real-world datasets. Implement and
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Regular Job Code 0005 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The Computational Research Assistant will support the development, testing, validation, and
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-inspired computing will also be considered. Collaborative research and development in chip design, verification methods, electronic design automation, and computer architecture is of particular interest
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analyses of micro-randomized trials and experimental designs for Markov decision processes. The candidate is expected to innovate statistical methods and algorithms, create software implementations, carry
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-NMD project using the innovative classification algorithm of gene variants named GORDIAN SCORE. The project aims at studying the genomes of individuals with neuromuscular disorders to identify pathways
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within a Research Infrastructure? No Offer Description Tenure-track position: Group Leader (k/m/x) in Quantum Algorithms and Machine Learning/Theory of Quantum Computing Ref. Number: MAB/27/2026 Location
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? No Offer Description Mission: Provide support in the design and implementation of algorithms, and in the design and development of experiments within the framework of the project. Functions to be
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Identification of Objects in Massive, Multi-scale, and Temporal 3D Point Clouds Objectives: The MODAM3 project aims to develop new models and algorithms for the automatic localization, characterization, and
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NTU’s global reputation for excellence in robotics and AI. Key Responsibilities Design and implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms
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/hardware development in robotic systems operating under uncertainty. The role will focus on designing, implementing, and experimentally validating advanced algorithms in uncertainty-aware robot perception