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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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Electrical and Electronic Engineering. The Centre is focused on applied research in neuromorphic systems across three pillars: sensors, algorithms, and platforms, and will collaborate closely with its partner
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, b) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and
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will be the efficient implementation of digital baseband processing leveraging algorithm-hardware co-design. More specifically, we will investigate low-complexity algorithms and hardware architectures
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to think algorithmically. Accurate and precise attention to detail. Excellent analytical, quantitative, and organizational skills. Appointment Information This is a 100% full-time Civil Service 5002
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individuals whose work addresses substantive economic questions—such as causal inference in high-dimensional settings, algorithmic behavioral economics, forecasting economic indicators, or modeling complex
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/specialty algorithms, the Scheduler critically evaluates the nature and urgency of scheduling requests to provide comprehensive clinical ambulatory scheduling for providers within the department/specialty
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
, development, and training of machine learning and deep learning algorithms. Creation of accurate, robust, and energy-efficient models. Development of systems capable of predicting and making decisions in real
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Reference Number AE2026-0030 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0030.pdf CALL FOR