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Field
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integration Optimization and stochastic modeling methodologies Energy storage Electricity market analysis Supports multidisciplinary teams in the application of these methods and tools to complex issues in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
/genomic research, education, and training at the interface between biology, chemistry, physics, computer science, mathematics, the social sciences, public health, and medicine to have a profound effect on
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, longitudinal pattern mining, and explainable artificial intelligence for complex system analysis and understanding tightly collaborating with biologists and domain experts for iteratively refining models
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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that capture the temporal evolution of complex chronic diseases from sequential medical images (plus clinical information) to predict plausible outcomes for patients on and off treatments. Driving innovative
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Sciences and Mathematics The college is home to five academic departments: Biological Sciences, Chemistry and Biochemistry, Geography and the Environment, Mathematics, and Physics and Astronomy. The college
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Biotech Data Science (KR01) At GUGC, the mission of the Center for Biosystems and Biotech Data Science is to pursue the development of new mathematical and computational approaches for complexity reduction
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well as help manage and direct this complex and challenging project as opportunities allow. For appointment at grade 7, post doctoral experience in the areas listed above would be required. Main Duties and
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; representation from three continents). Our lab’s strength lies in integrating multiple disciplines: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We