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seminars of the program group and the department; your primary residence will be within commuting distance of the University of Amsterdam for the duration of the PhD project. What do you have to offer
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Qualifications: The successful candidate must hold a PhD in Computer Science, Artificial Intelligence, or a closely related field, and demonstrate a strong background in computer vision and machine learning
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computational capabilities in Sweden. This PhD position is part of the DDLS research area Evolution and Biodiversity. Data-driven evolution and biodiversity concerns research that takes advantage of massive data
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methods for understanding biological form, function, and evolution. The project combines computer vision, machine learning, genomics, and biomechanics, and involves large-scale multimodal datasets including
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Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This fully-funded 80 PRIME PhD fellowship (CNRS MITI
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, Mathematics, Robotics, or a related discipline. A strong interest in one or more of the following areas: AI and machine learning, computer vision, signal processing, sensing, robotics, or embedded systems
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chosen candidate is expected to contribute to the mission of CPDSE. Read more about CPDSE here: https://www.cpdse.dk/ Tasks Establish an independent, high-impact research program in computational drug
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of advanced applications for network benchmarking, road hazard warning, and pseudo-remote driving supported by computer vision, while also supporting the broader research and integration activities
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modalities in the shaping task, to investigate multi-robot and human-robot applications. Funding category: Financement public/privé ANR Mandolin project PHD Country: France Where to apply Website https