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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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. The Role Applications are invited for a postdoctoral research associate in the theory of soft and active matter, to work with Prof. Suzanne Fielding in the Department of Physics at Durham University on a
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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patient care. Major research priorities include Immunology, Cell- and Immunotherapy, and Neurosciences. The laboratory of Prof. Dr. Dimitrios Mougiakakos is seeking a highly motivated postdoctor-al
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Future-Proof Smart Logistics. It aims to contribute to the realisation of the PI concept by developing advanced machine learning-based decentralised decision-making algorithms. These algorithms will enable
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integrate machine learning algorithms and Earth System Models to emulate carbon processes in the ocean connected to the biological activities. You will be enrolled in DTU’s Section for Oceans and Arctic and
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with neuroimaging, numerical mathematics, optimization, inverse problems, software development, motivation and research interests. The location for this research will be the workgroup of Prof. Dr
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Excellent skills to communicate (written and spoken) in English. The assessment of the applicants will be made by the head of BCBT group, Prof. Solange I. Mussatto. As a formal qualification, you must hold a
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will be under the supervision of CT&T Research Group Director Prof. Dr. Murat Uysal and is expected to carry out cutting-edge research on the physical layer design of wireless communication systems and