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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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organizational, quantitative analysis and writing skills are necessary. Candidates with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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research sites with the Principal Investigator. These activities will be targeted to publishing peer-reviewed journal articles, updating nitrogen fertilizer best management practices (BMPs) and assisting
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and maintain a healthy trajectory for all children toward positive life outcomes through early neurobehavioral and mental health assessment, innovative targeted interventions, informed policy-making
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-NGS analysis Biophysical characterization of RNAs (40%) -Characterize functional nucleic acid binding to target ligands -Characterize functional behavior (fluorescence, catalysis) of nucleic acids
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, integration, and commissioning of particle physics detectors 15% Analysis of collider and fixed-target data and simulation samples 5% Communication of research and coordination with other research teams Other
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preparation, and professional development. The candidate will join two ongoing projects around the midpoint of 3-4-year longitudinal studies, each with a sample size targeted at 1,000. Two full-time project
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for the development of new targeted cancer therapeutic approaches. Research technicians are responsible for performing standard bench-level laboratory experiments in support of scientific research. Responsibilities