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at the Department of Electrical Engineering. The Division of Communication Systems conducts research and education in communications engineering, statistical signal processing, network science, and decentralized
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experience handling large datasets and applying advanced statistical or machine‑learning techniques. Expertise in metabolomics or other omics‑based research, including LC‑MS sample preparation and analysis, is
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of differences in the workplace Preferred Qualifications: Experience conducting advanced spatial statistical analyses related to environmental health risks (hotspot analyses, spatial regression analyses) Written
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different policies on market outcomes, such as EV subsidies, domestic content requirements, trade policies, amongst others. Recent PhD in Economics (or related discipline) with a clear interest in mining and
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Qualifications Minimum Education and Experience Ph.D. in Neuroscience, Cognitive Neuroscience, Neurobiology, or related field. Rigorous training and experience in statistics, data analysis, and human experimental
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studies. Lead secondary projects applying advanced quantitative statistical analysis to study DNAm signatures, sensitive developmental periods, and subsequent depression risk. Participate in projects using
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Statistics at the Open University to work with Dr. Elsen Tjhung on the EPSRC-funded project EP/W027194/1 In this project, the candidate may pursue one of two research directions. Growing active matter
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integrates advanced analytical tools and a biopsychosocial framework to explore how this complex problem unfolds across different sociocultural contexts. By leveraging both national and international
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study examining common elements in decisions across different contexts (risk, uncertainty, time; gains, losses, and mixed domain choices). Applying Bayesian techniques to develop stochastic models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
employees. The Department has 235 students (184 graduate students and 51 undergraduate students). The Department of Biostatistics is housed in three different locations: administrative and faculty offices