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Field
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development of standardized methods for local and national application. Qualifications PhD in a relevant field such as climatology, environmental science, data science, public health, or a closely related
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to participate in interdisciplinary collaborative projects with other faculty members involved in the grant (statistics/data science, HDFS, psychology), and with other lab collaborators both within and outside
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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founding a clinical feasibility study at the Royal London Hospital. Background The post holder should hold relevant PhD in Signal Processing, Software Engineering, Electronics Engineering, Biomedical
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, facilities, reproduction, health, meat, milk, fiber, and economics, by planning and implementing trials, collecting and analyzing samples, performing statistical data analysis and writing papers for peer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
appointment within the UNC Lineberger Comprehensive Cancer Center. Minimum Education and Experience Requirements PhD in Bioinformatics, Genetics, Genomics or equivalent or related field. Required Qualifications
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using chemical, thermal, etc. approaches and conducting characterization of intermediates and products. Compile and interpret data including statistical analysis. Developing lab techniques and protocols
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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the brain. We are particularly looking for a PhD level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and its causal link with specific neural circuits
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committed team — we want to hear from you. Required Qualifications: A PhD in a quantitative field with a strong programming and statistics background Experience analyzing large datasets; familiarity with