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at www.UNTSystem.edu . Department Summary The Computer Science and Engineering department is home to 9 Professors, 11 Associate Professors, 7 Assistant Professors, 5 Lecturers, over 100 Ph.D. students, over 180 master
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
molecules. The project is based in the team of professor Gregers Rom Andersen at the department of Molecular Biology and Genetics (MBG). Funding for the project is secured by a major grant from the Novo
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researchers at both Stony Brook University and BNL. Under the supervision of Professor Emre Salman in the Department of Electrical and Computer Engineering at Stony Brook University , the successful
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart
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an assigned region(s), in addition to supporting multiple projects and data analysis as assigned. JOB RESPONSIBILITIES Frequently meeting with legislators or staff about their policy goals, priorities and
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: 270175802 Position: Postdoctoral Research Associate Description: The Behavioral Science for Policy Lab (BSPL), directed by Professor Elke Weber, is seeking an outstanding researcher for a Postdoctoral
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positions, undergraduate positions, visiting assistant professors, and visiting research associates. Department College of Engineering and Computer Science (CECS) - Electrical and Computer Engineering Work
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single-cell multi-omics data, or genetic variants and functional genomics data), and apply the computational methods to integrative genomics data to understand tumor microenvironment, brain science, and
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population health research, including but not limited to Epidemiology, Urology, Public Health and Policy, Biostatistics, Computational and Data Sciences, Nursing, Psychology, and Sociology. An interest in
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functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case