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MICADO (the first light instrument of the Extremely Large Telescope). The project provides a collaborative network, engaging with leading experts in optics, astrophysics, and machine learning from
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Engineering, Mechatronics, or Robotics, with a heavy emphasis on dynamic system theory, or a closely related discipline. Strong academic background in applied intelligent control techniques, machine learning
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,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms. Develop machine learning approaches, computer vision tools
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testing and optimisation of various decarbonisation scenarios. For more information please visit the TransiT website https://transit.ac.uk/. We are seeking a proposal for a project contributing to Digital
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position One (1) fully funded Special Scientist - PhD position is available at the Daedalus Research Center and the Department of Electrical and Computer Engineering, School of Engineering, University
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position One (1) fully funded Special Scientist - PhD position is available at the Daedalus Research Center and the Department of Electrical and Computer Engineering, School of Engineering, University
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Rising Innovative city . The position is formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science. At STIMA we conduct research
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 22 days ago
the communication and storage needed to retain most of the information. Environment. The PhD will take place at Inria Grenoble, in the Thoth team. This is a large team focused on machine learning, and
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tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design