485 distributed-algorithm-"Newcastle-University"-"Newcastle-University" Fellowship positions
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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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"Practical Quantum Advantage of Reservoir Computing on NISQ Devices." Position Overview The successful candidate will conduct research in quantum and quantum-classical algorithm development, focusing
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of distributed characterization of hollow core fibres, including properties such as attenuation, polarization, but also pressure and content of air inside the fibres. The successful candidate will be based
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of distributed characterization of hollow core fibres, including properties such as attenuation, polarization, but also pressure and content of air inside the fibres. The successful candidate will be based
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Are you passionate about developing numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale
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numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale computing and want to broaden your skills? Would
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—specifically fine particulate matter, heat, and humidity—in Philadelphia neighborhoods. The fellow will extend existing research in AI- and data-driven modeling of building systems by developing algorithms and
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. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent
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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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of Yi Li at the School of Physical and Mathematical Sciences. We are seeking a Research Fellow to contribute to a project focused on fundamental algorithms in data science. The main duty of this position