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Field
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diverse populations. The candidate will be funded primarily by an R01 on method development for statistical and population genetic applications based on the ancestral recombination graph (see recent
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with Prof. Mauro Maggioni on problems that include: analysis and algorithms on graphs, geometric analysis of high dimensional data sets, dynamic data sets, scientific machine learning, high-dimensional
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the PI in writing scientific papers based on research findings that includes generating graphs, tables, and other visuals for internal reports, grant applications, and publications. Collaborates with other
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agoimmunotherapies, integrating graph neural networks, regulon-aware pooling, and transfer learning with biological regulatory networks. 4) Developing and validating computational biomarkers (IGR burden, TAA burden
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Postdoctoral Position in Computational Humanities to Research the Macroevolution of European Literat
Max Planck Institute for Empirical Aesthetics (MPIEA) | Frankfurt am Main, Hessen | Germany | 3 months ago, representing these influences through dynamic networks and directed graphs, and creating effective visualizations of large-scale literary networks. Using these inferred connections and networks, we will tackle
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, articles, and publications. Prepares tables, graphs, and other visuals of research findings. Prepares Methods and Results sections of required research deliverables. Mentoring Assists, mentors, and/or
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
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Max Planck Institute for Empirical Aesthetics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
networks and directed graphs, and creating effective visualizations of large-scale literary networks. Using these inferred connections and networks, we will tackle big-picture questions about the evolution
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for documenting and recording research findings, conducting complex data and statistical analyses, generating summary graphs and tables, and drawing conclusions based on findings. Essential Function Yes Percentage
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. Evaluate and perform preliminary analysis of the data using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated