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Field
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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and applied research in one or more of the following areas: collaborative robotics, manipulator robots, compliant robotics, human-robot interaction, computer vision, artificial audition, signal
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-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
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emergency medicine, computer vision, or data science are highly encouraged to apply. The ideal candidate is self-directed, detail-oriented, and an effective communicator in both written and spoken English
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-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their
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, providing Fellows with resources and networks to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing
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for computer vision and audio-visual AI, enabling award-winning technologies for content production in TV, film, games and immersive entertainment. In 2021, CVSSP founded Surrey’s Institute for People-centred
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are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. For more information and how to apply
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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through their work. Preferred Skills: Experience with single-cell analysis and microbial culturing techniques. Familiarity with Machine-Learning and computational tools and programming languages such as