14 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Czech Technical University in Prague in Czech
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(iii) complex architectures with tightly coupled components hinder modular adaptation. To address these limitations, we research a physics-guided machine learning framework that integrates physical
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, dimensionality reduction and/or machine learning methods (e.g., Lasso, ridge regression) is highly desirable. Familiarity with neurostimulation, Parkinson’s disease, or neuropsychological assessment tools is
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chair for ECCV2020, ECCV2024, and ICCV2025. His work has been published numerous times in top computer vision conferences and journals such as CVPR (x13), ECCV (x6), ICCV (x3), IJCV (x3) and PAMI (x1
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animals and humans, contacts with the environment are not avoided and sometimes even actively sought. We will deploy this inspiration from biology to design truly robust machines with distributed control
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inertia has decreased. However, the industry has to learn how to operate synchronous generators in a system with a larger share of solar and wind that does not utilize SGs with large inertia. The candidate
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Engineering, Department of Control Engineering, daghbnab@fel.cvut.cz , https://nano.cvut.cz/researchers/nabil-daghbouj https://nano.cvut.cz/publications?name=N.%20Daghbouj https://orcid.org/0000-0002-3932-7604
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comments Mentor: Jan Mikeš, Faculty of Electrical Engineering, Mikes.jan@fel.cvut.cz , https://leee.fel.cvut.cz/AboutUs.html#content5-v https://leee.fel.cvut.cz/Projects.html#content8-17 ORCID 0000-0003-2219
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Engineering, Physics, rezekboh@fel.cvut.cz https://scholar.google.cz/citations?user=mb1IXcUAAAAJ 10.1088/2515-7655/add59f 10.1039/D3NA00205E 10.1016/j.solmat.2022.111984 ORCID 0000-0002-0378-4598 H-index (WOS
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Drives and Traction ORCID: 0000-0002-0657-1213 https://motor.fel.cvut.cz/staff/bauerja2 https://scholar.google.com/citations?hl=cs&user=0EK56BAAAAAJ https://ieeexplore.ieee.org/document/10937918 https
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https://www.cvut.cz/en Work Location(s) Number of offers available1Company/InstituteCzech Technical University in PragueCountryCzech RepublicState/ProvinceCzech republicCityPragueGeofield Contact State