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a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and
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with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order
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or more PhD stipends/Integrated PhD stipends in representation, compression, learning, and inference for classical and quantum data are available within the general study programme in Computer Science
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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance
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for data science and ML prototyping. Experience with C/C++ or embedded programming for deploying algorithms on edge devices is highly desirable. Statistical intuition: You understand the challenges