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to the “other documents” tab as needed. Skills and Knowledge: Experience with molecular simulations and high performance computing demonstrated by several peer-reviewed publications. Understanding of polymers
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analysis, including numerical linear algebra and high-order methods High performance computing and open source software libraries (For a full description of CCM research areas and scientific staff, please
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/science/our-labs/herman-fung-lab). Qualified applicants will have experience in cell, structural or computational biology and a passion for applying and/or developing diverse tools for understanding gene
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: Experience with fitting parametric models to neural population data. Experience with high-performance computing. Notes: This is a full-time, 2 years, postdoctoral appointment with the possibility of renewal
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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-scale knowledge graphs, graph and semantic embedding techniques, and/or use of high-performance computing resources in research will contribute to the strength of your application. Required Qualifications
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algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability to work collaboratively with
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, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration
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for improved interpretability and generalization. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability to work collaboratively in interdisciplinary and cross
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances