275 parallel-computing-numerical-methods-"Simons-Foundation" positions at Oak Ridge National Laboratory
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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to numerical methods for kinetic equations. Mathematical
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Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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Requisition Id 15618 Overview: We are seeking a Computational Condensed Matter Physicist who will perform state-of-the-art numerical simulations of quantum magnets (i.e., quantum spin systems
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Requisition Id 15301 Overview: We are seeking a Group Leader who will focus on leading and performing research in the area of high-performance computing methods and application to challenging
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Requisition Id 15552 Level: BP04 Overview: We are seeking a Requirements Program Manager who will oversee the requirements management processes that support deployment of the UT-Battelle Prime
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strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel computing