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Learning and software engineering with at least 3-5 years of research experience (including PhD training) in related fields. Proven track record in research and development of cybersecurity and/or Deep
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foundations of medical deep learning. The project focuses on novel self-supervised objectives, information geometry, mitigating representation bias for rare pathological findings, and building next-generation
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campus community located in the city’s cultural corridor, Buffalo State prides itself as having smaller learning environments coupled with larger university opportunities. Boasting a diverse and inclusive
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
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content analysis using artificial intelligence and deep learning techniques, including face detection, face recognition, and dynamic identity enrollment and updating. Where to apply Website https
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interdisciplinary research centers. Successful candidates must be able to teach in these and other areas while also contributing to the excellence of our programs through research and service efforts. Candidates
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discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and persistence; (3) technological competence; and (4) the ability to use skills and strategies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded