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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
cutting-edge machine (deep) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from
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The Department of Computational Applied Mathematics and Operations Research (CMOR) at Rice University in Houston, Texas, invites applications for postdoctoral positions focused on Machine learning
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machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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system or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be
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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale
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and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the
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The Basque Center for Applied Mathematics (BCAM) is launching two postdoc positions of 2 years each within BCAM–Helsinki Lab on Machine Learning and Inverse Problems, a strategic joint initiative
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 28 minutes ago
POSTDOCTORAL FELLOW POSITION: Hybrid Scientific Machine Learning and Numerical Weather Prediction (Canadian Arctic) Department of Mathematics | Simon Fraser University (SFU) | Metro Vancouver, BC