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to https://sparkmedia.tv/ Qualifications we require: Hold, or be about to obtain, a Master's degree in Computing, Computer Vision, Data Science or a related field. A PhD in Computer Vision or similar
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of mechanical testing, micro-Computed Tomography imaging, and Nanoindentation. Ensuring the achievement of the project objectives will advance the vision of the Insigneo institute to validate
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, travel for conferences and presentations, as well as contribute to academic publications. The post holder is expected to hold a PhD degree in Bioinformatics, Computer Science or other relevant discipline
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | about 2 months ago
researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | about 2 months ago
amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Computer Science or a closely related field
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realising our vision of making the world a better place. EMBRACE is a visionary, multicomponent international research programme, the first of its kind in the world, supported by Inkfish with £35M core funds
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fluid. A main application of this technology is for the detection of wall defects and leaks in pressurised water pipes. If you have a degree in Mathematics, Physical Science, or Engineering and a PhD (or
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computing and design automation, mainly targeting the domains of Machine Learning, Computer Vision and Robotics. This full-time, in-person postdoctoral position is based at Imperial College’s South Kensington
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lead and perform research in these areas, who will have practical experience of blast experimentation, underwater blast loading, and demonstrable computational modelling experience in a relevant area