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on research projects spanning evaluation of deep learning neural networks trained on signed language recognition. The fellow will work closely with the PI Annemarie Kocab and collaborator Alex Lu , Senior
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world‑class facilities, collaborative networks, and a culture of innovation that supports both career growth and meaningful contributions to the wider community. The School of Computer Science and
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for fellows across the Gallery. The fellow will join the Network of Public Programmers and help plan group meetings. Salary: $54,500 commensurate with education and experience; a competitive benefits package
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or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and
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development, the evolution of pleiotropy and co-option, and gene regulatory network evolution. Please see https://www.crick.ac.uk/research/labs/james-difrisco or email [email protected] for more
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
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visible to our student body, to encourage them to consider an academic path. As part of the EPT Women in Science initiative we continue to build on our international network, inviting prominent female
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research on AI and digital technology in partnership with Southern partners and is committed to co-developing each of its initiatives. Where to apply Website https://ird-career.talent-soft.com/offre-de
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performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics, multimodal or multimedia systems. Directly relevant areas are preferable
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engagement platform designed by the Executive Director, and running day-to-day alumni communications. Builds and maintains the operational network of post-fellowship career opportunities, including employer