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the potential for long-term societal impact. Join us in uncovering the biology of aging and shaping the future of healthy longevity. Training and research within the PhD program is interdisciplinary. Lecture
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circuits to implement Ising machines participate in innovative training modules, including a series of hands-on workshops that provide technical, transferable and presentation skills, international
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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
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untapped potential remains in extracting value from this data. This PhD will explore advanced analytics techniques, including machine learning, digital twin modelling, time series analysis, spectral analysis
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vast amounts of short, irregular biomedical time-series data, including physiological signals, lab results, and interventions. These data hold great potential for supporting high-stakes, complex decision
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or as soon as possible thereafter. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend of at least £20,780 for 3.5 years full-time, or pro rata for part-time
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political philosophy literature, drafting papers, developing and coordinating a seminar series, and overseeing the development of a journal special issue, and of a podcast on this cluster of topics. You will
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-organising reaction networks and the emergent complexity in such systems form powerful reservoir computers capable of non-linear classification, times-series prediction and forecasting, on a par or even
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an additional teaching appointment at the Chair Group of European Politics and Society at the Faculty of Arts for a fixed period of time. Organisation The University of Groningen (RUG) is an internationally
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Faculty Professor Research Assistant - Full-Time Med-Immunology - Pennsylvania-Pittsburgh - (25002333) The Department of Immunology at the University of Pittsburgh School of Medicine is seeking