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Professor, to begin Fall 2027. Candidates will be expected to conduct innovative and impactful research and to teach at both graduate and undergraduate levels. Our tenure-track and tenured faculty normally
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-based analysis of research data as a meta-domain and discovery of relevant datasets through both graph search and guided browsing through relationships. Along with Yale managed datasets, these will also
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Context of Job: Under the direction of the Director of Marketing for the Center for Innovation in Lifelong Learning and Teaching (CILLT), the Digital Marketing Specialist is a high-impact, execution-level
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meta-research program for a minimal of 1 year. The program aims to lead research on developing, evaluating, and disseminating efficient methods for comparing healthcare interventions and providing
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Job Description: About Brown: Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students, faculty and staff are driven by
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at: http://dimadamen.github.io/ Prior expertise in audio-visual perception and deep learning methods with a strong publication track record is expected, including first-author publications in CVPR/ICCV/ECCV
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education and scholarship with a deep commitment to justice. Here at Harvard Law School (HLS), you’ll find an environment that values who you are and encourages you to grow, inspire others, and make a
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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
, and C. Reinke, "Variational meta reinforcement learning for social robotics," Applied Intelligence, 2023. 11. R. Aljundi, K. Kelchtermans, and T. Tuytelaars, "Task-free continual learning," CVPR, 2019
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leading research projects funded by grant-making agency * experience in structure-property relationship modeling and modeling using small training sets, including deep learning and meta-learning techniques