37 parallel-computing-numerical-methods Fellowship positions at University of Michigan
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research methods, and training leaders in survey and data science. The postdoctoral fellow will be a central collaborator in a beginning project titled "Improving Alzheimer's Disease and Related Dementias
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Public Policy (STPP) program at the Gerald R. Ford School of Public Policy has recently launched the Michigan Science, Technology, and Public Policy (MiST) Fellowship program, which embeds fellows in
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adult cancers Integrate single-cell and clinical transcriptome data through new foundational methods Collaborate with Pathology teams, interfacing computational analyses with traditional pathology
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(generally July or September). Please direct questions and send all application materials via email to [email protected] . Job Summary The fellowship program aims to train fellows to conduct impactful
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fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include
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Fellow who will support key aspects of a mixed-methods policy evaluation. The Research Fellow will support a multi-year evaluation of Michigan's Partnership Model of school and district turnaround
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of faceted, nonspherical particles. Graph-based descriptors will be constructed from X-ray-based 3D in-situ characterization methods, including High-Energy Diffraction Microscopy and Micro-Computed Tomography
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of work, and satisfactory performance. Responsibilities Develop novel statistical and computational methods for ARG-based quantitative genetics Analyze large-scale genetic and phenotypic datasets Implement
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Cognitive and Adaptive Manufacturing Lab) team aims to develop methods and tools for interpreting and explaining how powerful AI models make predictions and decisions in manufacturing. By seeing what's going
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of Michigan is expanding a nationally and internationally funded research program at the cutting edge of cardiovascular medicine. Led by Drs. Venkatesh Murthy and Sascha Goonewardena - whose work has appeared