83 phd-data-mining Postdoctoral positions at University of Minnesota in United States
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Council, the project will integrate new data collections with existing datasets from recent studies and monitoring programs to understand how pond age, design and management influence trajectories of pond
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expression of fungi in response to selenium exposure - Work with bioinformaticians to analyze fungal transcriptomics and proteomics data 45% COMMUNICATION - Communicate results through peer-reviewed
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Qualifications Essential Qualifications • PhD in mathematics, science or STEM education research or equivalent (e.g., PhD in biological field with dissertation on discipline-based education research) • Experience
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. Responsibilities (Must total 100%) 75% Experiment design and execution. 15% Data analysis and manuscript preparation. 10% Lab management and administration. Qualifications Required Qualifications: Doctoral degree
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Regular Job Code 9546 Employee Class Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up
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. The postdoc will process and analyze data, prepare manuscripts, and assist with MRI data collection. The CNS Lab has collected MRI data from samples of typically developing infants, infants who develop autism
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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential
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%). • Contribute to data and lab management (5%) Qualifications Required Qualifications: • PhD, DO, MD or similar degree in health sciences or related field • 3+ years experience in biological sciences laboratory
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job As a postdoctoral associate, you will work under the mentorship of Mark Osborn, PhD, contributing to cutting-edge research in