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Field
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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focused on using advanced numerical methods to explore low energy dynamics in strongly interacting quantum spin systems. The candidate will develop and implement advanced algorithms to investigate
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laboratory, home-like and real-world environments Implement novel advanced machine learning methods (e.g., federated learning techniques) Apply existing algorithms, develop and implement new signal processing
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aims to strengthen interdisciplinary research among faculty, universities, research centers, industry partners, and government agencies to address global quantum challenges and prepare a new generation
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(E13 TV-L, 100%, starting 1 April 2026 or as agreed) 22.12.2025, Wissenschaftliches Personal The Professorship “Algorithmic Governance and Public Policy” (Prof. Daria Gritsenko), invites
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | about 2 months ago
under variable power supply conditions. The position includes the analysis of existing technologies and algorithms in the areas of interest, the development of specific models and experimental prototypes
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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measurements Calibration of materials as sensors to measure temperature, oxygen, and pH values in cells Development of models based on artificial intelligence algorithms to interpret luminescence signals Study
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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include the development and implementation of control algorithms on FPGA platforms, experimental testing using Hardware-in-the-Loop (HIL) setups, data analysis, and preparation of scientific publications