57 complex-analysis-mathematics Postdoctoral research jobs at University of Minnesota
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regions of Minnesota. Part of this experiment has already been established and will continue for at least two additional years. The postdoc will lead data collection (for paper birch), statistical analysis
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advance X-ray investigations of solar flares. Work entails both hardware-based and analysis-based studies of solar hard X-rays. Instrumentation work includes testing of X-ray detectors and telescope
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. Experience with gene editing and subsequent analysis. Good fine motor skills are required for ocular injections and dissection. Superior analytical, communication and management skills. Excellent communication
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extraction and RT-PCR. Prepare samples for next generation sequencing (NGS) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use
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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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the organization structure of the School of Physics and Astronomy. Job Duties 80% research, analysis, and dissemination of results to the collaboration and the science community; 15% staying abreast of developments
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(These examples do not include all possible tasks in this work and do not limit the assignment of related tasks.) 90% Research and data analysis: Individual will design and conduct complex, multi-step laboratory
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applications from diverse candidates and are committed to creating an inclusive and supportive research environment. Job Responsibilities Data Analysis and Publication (50%) Test hypothesis around developmental
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic