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for analog and RF circuits toward energy-efficient AI-driven 6G transmitters. Your Role and Goals As a Doctoral Researcher, you will: Build hardware-aware behavioral models of analog and RF circuits in Python
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including a background in ergodicity theory; Reinforcement learning, dynamic programming, and Markov decision processes; Programming skills (Python). What we offer Fully funded doctoral researcher’s position
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the application deadline. Have a solid background in quantum computing and quantum algorithms, sufficient to conduct research on the topic. Have programming skills (e.g., Python) and experience with numerical
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, watermarking, source tracing, and generative AI. Good programming skills, preferably including Python and modern machine learning tools. Basic knowledge of deep learning, signal processing, speech/audio
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including Python and deep learning frameworks. Interest in one or more of the following areas: speech synthesis, music generation, neural audio codecs, diffusion models, audio language models, watermarking
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localization Backscatter or wireless communications Statistical signal processing Software-defined radio and experimental wireless systems Python, MATLAB, C/C++, GNU Radio, or comparable research tools Previous
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C, Python, MATLAB, or similar programming languages. Experience in scientific writing and academic publishing Students in the final year of their master's programme are also welcome to apply, provided
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, Computer Science, Control, ML/AI, Mechatronics, or Applied Mathematics; strong analytical and writing skills; solid programming and mathematical skills (Python/C++, ROS valued); fluent English. Position-specific
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astrophysics Machine learning or data analysis for physical sciences Strong programming skills (e.g., C/C++/Fortran and Python) and familiarity with reproducible workflows/version control. Motivation to pursue
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development (experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C