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develops solutions for a range of vision tasks via machine learning and deep learning algorithms. The SSUDIO project aims to identify various objects of interest from shipboard 3D scans by training computer
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Offer Description Your Responsibilities Qualitative analysis of choice architectures and recommendation algorithms of social media platforms in the context of their communicative function within
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algorithms are agnostic of the downstream task they will be deployed on, and this may lead to a suboptimal control performance. In this project, we will investigate control-oriented biases and their impact on
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and evolved overtime, and believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary
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, collaboration and community, and ethical behavior and stewardship. Job Responsibilities Responsibilities include developing an international level research program; collaborating across the university in research
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, collaboration and community, and ethical behavior and stewardship. Job Responsibilities Job responsibilities include developing an international level research program aligned with the mission of Georgia Tech
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matter expert offering support, training and guidance relative to the discipline/area. May participate and/or present on the research developed, or the established work of those within the department. FIVE
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Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
We seek candidates to join the Algorithms Section. The focus of the call is both to expand at the new Vejle campus and to strengthen the Odense campus. We have several openings, and successful
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Department PSD Data Science: Research Staff About the Department The Data Science Institute at the University of Chicago was established to support the development of emerging efforts in data
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activities: developing and testing image processing algorithms and monitoring methodologies for photovoltaic panels; evaluating the performance and efficiency of photovoltaic systems under controlled and real