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several of these highly topical research projects and the societal transformation that follows with the development of AI-powered smart care solutions. The position is at the Department of Computer
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, interdisciplinary research environment with strong focus on mentoring and career development. Starting date upon individual agreement and preferably no later than 1st of April 2027. The fellowship period is three
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receiver architectures that enable power-efficient signaling at the maximum allowable spectral efficiency. The project will cover both algorithm development and experimental implementation. We offer an
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are also welcome. Profile 1: Model-based radio localization, sensing, and tracking. This profile focuses on modelling, algorithm development, performance analysis, and signal processing for radio
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computational astrophysics research, which may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 14 days ago
training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 24 days ago
training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and
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, proficiency in algorithm development with a focus on optimization via profiling, and a track record of developing software with strong documentation and testing. A portion of this position's time
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, proficiency in algorithm development with a focus on optimization via profiling, and a track record of developing software with strong documentation and testing. A portion of this position's time
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for low-resource and LMIC settings Bioinformatics and practical AI/machine learning to aid biomarker discovery, assay and algorithm development, or data interpretation and integration challenges