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Program
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analysis Numerical methods for differential and integral equations Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written
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for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent
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Apply Now How to Apply https://apply.interfolio.com/175076 . Only materials submitted through the Interfolio link will be reviewed. Do not submit materials on this website using any of the apply
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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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. For computational biology, IIMCB offers dedicated high-performance computing resources designed for data-intensive and AI-driven research: High-Performance Computing (HPC) Cluster: ~4000 CPU cores with 5 TB RAM
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tracking). Comfortable using Linux based HPC systems. Model order reduction, particularly proper orthogonal decomposition (POD) techniques. As a formal qualification, you must hold a PhD degree (or
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local research software engineer for your research group(s) and improve the use of computing among all group members. Stay up to date with the latest HPC, AI, and general computing/data management
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include experience with high-performance computing (HPC), initial experience with ecosystem models, willingness and ability to actively contribute to interdisciplinary teams, knowledge of climate-relevant
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the climate crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values. Why Work
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looking for a driven individual to make fundamental research contributions. This is your chance to develop your HPC research skills, including teaching, and cutting-edge engineering, while contributing to a