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percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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, behavioral health and developmental disabilities (including depression, autism), and type 2 diabetes. Preference will be given to applicants with experience in multimodal learning, graph neural networks, and
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the National Environmental Health Science and Protection Accreditation Council (EHAC). More information can be found at the Department website: http://www.ecu.edu/hlth/. Job Duties: This position will be trained
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families (e.g., generative models or graph/equivariant neural networks) to accelerate candidate discovery and hypothesis generation. Disseminate research findings through publications, conference
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Group (ECOPRO) Fellowship Type: Postdoctoral Fellowship Location: Daejeon, Daejeon 34126, Korea, The Republic of [map ] Subject Areas: Extremal and Probabilistic Combinatorics, Graph Theory, discrete
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research question. Implement data analysis through statistical programming. Present results for investigators using graphs and tables. Summarize findings orally and in written form. Participate in
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on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description We are recruiting 1-4 students for the following two projects: Dual Control at Scale: Learning-based control
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knowledge graphs by reviewing recent academic literature and attending lab seminars, 2) Develop prototype implementations of systems, receiving feedback and guidance from Dr. Zitnik, 3) Participate in
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, and analysis by using concepts and methods from machine learning, including pattern recognition, graphs, and complex networks. ** Specific Research Areas: * Develop concepts and algorithms to analyze