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one that has influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on AI training algorithms
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und Stellenangebote > Academic staff > 2 PhD Positions in Efficient Algorithms and Network Visualization Back to News Board Browse in News 2 PhD Positions in Efficient Algorithms and
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electromagnetics applications. Primary responsibilities in this role include Leading development and implement state estimation and fusion algorithms for RF and robotic systems Lead implementation of
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 26 days ago
of algorithms for spatial data. These algorithms typically leverage geometric and topological structure present in the data to obtain efficient solutions. This project focuses on computing
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 9 days ago
computationally efficient optimization algorithms. For example, for many binary optimization problems, objective functions can be represented using a bounded-degree Walsh/Fourrier transform , providing a
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, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to
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successful candidates will develop fundamental theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization
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students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Based at CQT, the Project Manager (Quantum Algorithms & Software Applications) will be part
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Carlo methods. Because of the specific structure of the inference problems occurring in metabolic models, direct application of these MCMC algorithms is, however, not possible. In this project, you will
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms and