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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
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Qualifications: Experience in delivering lectures remotely Experience in quantitative fields such as machine learning, data science, etc. About the Department The School of Mathematics is located in the heart
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to the individual student background. Serve as de facto advisor and department/collegiate signatory authority for all incoming MA and PhD graduate students. Conduct reviews to certify graduate programs and other
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, the Code of Federal Regulations (CFR) and Good Clinical Practices (GCP) Standards ● Computer proficiency and ability to navigate multiple software applications; experience with computerized data management
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sound decision making. Excellent technical skills with high proficiency in the analytical application of relevant computer software packages (e.g. Excel, Access, and BI). Demonstrated ability and
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from an APA and/or CPA accredited program, internship training, and minimum 1-year post-doctoral training in pediatric psychology or neuropsychology is required. • Licensed or ability to acquire clinical
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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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analysis. -Experience with molecular biology (RNA/DNA isolation, PCR, Western blotting, bacterial cloning, viral production) -Proficiency in flow cytometry. -Computer experience: experience with Excel
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Associate Professor position from candidates with a Ph.D or equivalent degree specializing in biomedical engineering, electrical & computer engineering, neuroscience, or related fields. Experience with