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methods for compact binary systems. Specifically, the scholar will conduct research in numerical relativity by extending the Einstein Toolkit, BlackHoles@Home, and the superB project to perform state-of
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(Astronomy), MIT Faculty Netta Engelhardt (Physics), as well as SAO astronomers Sheperd Doeleman (Founding Director of the Event Horizon Telescope project) and Michael Johnson (Astrophysicist, Harvard
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, Energy Systems, Computational Mechanics or a related discipline . You will have experience with numerical modelling and/or data-centric methods and a keen interest in applying these to energy and
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learning, high-performance and parallel computing, or scientific simulation; Effective oral and written communication skills; Ability to work well independently as well as in a collaborative team
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Requirements Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific
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/or data-centric methods and a keen interest in applying these to energy and infrastructure challenges. You should be able to demonstrate experience in numerical modelling of coupled thermal
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python), computational mechanics and fluid dynamics, numerical methods, machine learning, and the finite element method. In this position, the candidate will develop data-driven multiscale/multiphysics
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-performance computing environments and GPU computing. Proven experience in weather and climate models development and applications. Experience in machine learning, deep learning, or AI applications
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, dynamic-link libraries, SQL, Git or other version-control systems, Linux, high-performance computing, parallel computing, or automated testing Experience with watershed processes, groundwater-surface
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, apply appropriate analytical or numerical methods, interpret results, and contribute to the preparation of publications and research presentations. Demonstrated ability to work independently while