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area, such as P. Urbani (IPhT), A. Rosso (LPTMS), C. Furtlehner, S. Chibbaro (LISN). The postdoc will have dedicated funding for conferences and computing equipment. Where to apply Website https
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knowledge of iterative learning control theory with applications to industrial systems Excellent foundation in linear algebra, numerical methods, optimization, and control theory Background in online
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review. The starting date is flexible. For more information, visit: https://www.oist.jp/careers/postdoc-information-theory-probability-and-statistics-unit To apply, send to [email protected]
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 hours ago
learning using 3D data. More information about the research group and KAUST can be found under the following links: http://peterwonka.net/ https://cemse.kaust.edu.sa/vcc https://www.kaust.edu.sa/en If you
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number of attractive one- to three-year postdoctoral positions. The Department of Mathematical Sciences has strong research groups in many areas of applied mathematics, and has an active postdoc and
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counting, or similar areas. Additional experience in the theory and practice of machine learning would be an asset. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8188-MARHEC-007
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Practice of Judging Others” (MoPo), funded by the European Research Council and led by Professor Christian Rostbøll. Employment can be offered as postdoc or an assistant professorship. The offer
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 hours ago
King Abdullah University of Science and Technology: Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc): Applied Mathematics and Computational Science
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 hours ago
Continual Language Learning , ( ICLR ’20), Yuanpeng Li, Liang Zhao, Ken Church, Mohamed Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks