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, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget stands at $1.85 billion, and its endowment totals nearly $1.8 billion
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information about our Law and Behavioral Science group, including faculty, research labs, academic programs, and events, can be found at https://lbs.asu.edu/ . We seek a scholar whose work either complements
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experience (Python, C/C++/C#/etc.). Fundamental understanding of, and practical experience with AI / machine learning / deep learning (TensorFlow, Keras, scikit-learn, PyTorch, etc.). Experience with big data
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developing data analysis methods, so the PhD candidate will benefit from collaborations within the group. Roles and responsibilities of the PhD fellow The candidate’s specific research tasks will include
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-bed and facilitate large-scale, community-based service innovations through a variety of methods including programme evaluation and social analytics. The Research Fellow will join a dynamic multi
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wilderness, the Knoxville Museum of Art, and Big Ears, the acclaimed avant-garde festival of film, music, and art. Qualifications Applicants should have a Ph.D. in hand by August 1, 2025, in English or a
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, mineralogical, geochemical and structural data) and methodologies, with applications to the mineral industry. Working in collaboration with researchers from Earth and Physical Sciences, Engineering, CSIRO
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
to provide the fellow with that last layer of confidence necessary to practice surgical pathology independently in a variety of settings from small community hospitals to large community hospitals or academic
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DSFs will be named to one of three fellowships based on their scientific background. The fellowships honor three prominent scientists who made a Big Science impact at ORNL. Dr. Liane B. Russell was a
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) the physics of morphogenesis, (ii) collective behavior of organisms across scales, (iii) soft matter physics, (iv) quantify resource consumption in a large residential community, using sensor deployment