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-messenger Studies of Extragalactic Super-colliders) project. This project, led by Prof. Yuri Kovalev and funded by the European Research Council (ERC Advanced Grant No. 101142396). The MPIfR operates several
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The Computational Turbulent Reacting Flow Laboratory, led by Prof. Michael E. Mueller, invites applications for postdoctoral or more senior research positions in the field of atmospheric aerosol
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developed by the project partners will be based on two key technologies: machine learning algorithms that generate artificial yet realistic data points (synthetic health data) and secure multi-party
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: variational formulation of neural network learning convergence of Langevin Monte Carlo algorithms Dissemination of research results through participation in scientific conferences, presentations, and
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the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers the study of
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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manufacturing technologies, including light-based (DLP) and extrusion-based (3D fiber deposition) approaches. You will take the lead on applied physics, mechanics, manufacturing processes, and algorithm/coding
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processing, inverse problems and data science with emphasis on analysis, optimization, numerics and algorithmic solution Collaboration in interdisciplinary cooperation projects and third-party funded projects
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the job There is an immediate opening for a Postdoctoral researcher in Dr. Bayat’s group at the Institute for Health
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optimization algorithms; Game theory–based optimal trading strategies; Procedures and reports on testing trading models in the energy market. Duties and Responsibilities Ensure hierarchical reporting and proper