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Field
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, technical reports, and presentations. Seek membership and service opportunities in professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is fixed-term for 1 year
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events, mentoring junior scholars, and supporting ongoing field-building efforts by Dr. boyd’s team. Requirements PhD in the social sciences, STS, history, or relevant field and have conducted significant
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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Framework Programme? Horizon 2020 Reference Number 101229540 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of History of the Research Centre for the
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. The position contributes to scholarly publications, sponsored-research deliverables, and the training of graduate and undergraduate researchers. Minimum Qualifications Required PhD in Chemical Engineering
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throughout their evolution. Our vision combines ideas from differential geometry, numerical analysis, scientific computing, dynamical systems, and applied mathematics to develop new mathematical frameworks
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computing. The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics
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of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program
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relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and collaborate across disciplines