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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
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computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive science
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Mathematics of Symmetry and Computation (CMSC) is a globally recognised research centre within the Department of Mathematics and Statistics at The University of Western Australia. CMSC brings together leading
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receive advanced training in: Statistical genetics and multi-omics integration Deep learning for regulatory genomics Single-cell and spatial transcriptomics Large-scale data engineering Training is highly
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, transcriptomic, and proteomic datasets to uncover biological mechanisms and generate novel research insights. The successful candidate will apply bioinformatics and statistical approaches to analyze high
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against oceanographic variables to inform management actions to support the recovery of the endangered SRKWs. Multi-modal datastreams will further be used to develop a unified statistical detection model
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psychoneuroendocrinological and behavioral studies; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in
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, differential abundance testing, community composition comparisons, and other multivariate statistical approaches used to evaluate associations among bacteriophage populations, bacterial communities, clinical
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data according to research specifications. Uses a computer terminal to input and retrieve data and to generate reports Processes and summarizes data using scientific or statistical techniques. Assists in
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an