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communication skills. The ideal candidate will use their computational skills, biological knowledge, understanding of statistics, and creativity to help us understand complex genomic data sets. Proficiency in
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science research institution in the world. This interdisciplinary community includes researchers from sociology, anthropology, economics, psychology, information and computer science, statistics, geography
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research, as evidenced by publications, training, and proficiency in statistical analysis. The fellow should have a career trajectory in the field of social epidemiology, cognitive aging, dementia, and/or
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factorization and other core signal processing concepts Expertise for data analysis and statistical evaluation inMatlab, C++, and Python High-performance computing skills Background Screening Michigan Medicine
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, computational and statistical genetic and bioinformatic methods implementation; vascular biology research using in vitro and in vivo models of cardiovascular diseases, particularly those that disproportionately
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Gaynanova at [email protected] . Responsibilities* You will work with Dr. Gaynanova and her research team in developing statistical methods to analyze large-scale and high-dimensional biomedical data
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the world. This interdisciplinary community includes researchers from sociology, anthropology, economics, psychology, information and computer science, statistics, geography, public policy, public health, and
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to candidates with knowledge in survival analysis, machine/deep learning, image analysis, or high dimensional data analysis. Responsibilities* You will work with Dr. Li and his group to develop statistical models
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publications and present findings at professional meetings. A collaborative, curious, proactive and organized temperament. Desired Qualifications* Desired qualifications considered a plus: statistical training
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* ? Knowledge of control theory, statistical and probabilistic methods, optimization, machine learning, robotics, or related fields. ? Passion for water, the environment, and open source. ? Strong