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Carlo, tensor networks, or quantum embedding methods, etc. -ML-augmented numerical method development. -High-performance computing (HPC). Certifications/Licenses Required Knowledge, Skills, and Abilities
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for structural biology or molecular modeling Proficiency in Linux system administration and high-performance computing (HPC) environments Hands-on experience with structural biology software (e.g
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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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, leaders, and responsible stewards of their communities and the world. To learn more about Georgia Southern's Vision, Mission and Values please click here: https://president.georgiasouthern.edu/performance
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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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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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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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on materials science tasks as well as integrate your semantic-AI services into high-throughput GPU/HPC workflows, contributing to data management, metadata structuring, and semantic annotation Collaborate with