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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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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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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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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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correspondence and non-credit instructional materials including but not limited to: operational manuals, non-credit course syllabi, outlines, exams, reports, graphs, forms, flyers, brochures, advertisements
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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
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including graphs, scientific calculations, and statistical analysis charting. Maintains inventory of supplies, equipment and/or reagents. May order supplies/equipment/reagents as authorized or ensure
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different data sources. Produces graphs, charts, and other documents. Updates and maintains data and databases. Meets with various entities to realize new processes for data collection. Formulates techniques