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Field
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for High-Frequency Financial Time-Series Data Introduction Are you passionate about using advanced machine learning techniques to solve real-world problems in financial trading? Do you enjoy working with
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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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would co-develop the research objectives and select the methods to be implemented with supervisory support. Some ideas to discuss include integrating repeat GEDI LiDAR surveys with time-series
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gestural interaction for music. Proposals should outline a research project that uses time-series classification to support the detection of musical gestures and interactions with different materials and
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outstanding computing resources and software support personnel. The proximity of the CMS Tier-1 and the CMS Remote Operations Center at Fermilab allows critical real time connections to the experiment. Fermilab
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Company DescriptionUniversiti Teknologi PETRONAS (UTP) is a leading private university in Malaysia, established in 1997. The campus is strategically located at Bandar Seri Iskandar, Perak Darul
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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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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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2025 or as soon as possible thereafter. For eligible students the studentship will cover Home or International tuition fees plus an annual tax-free stipend of at least £20,776 for 3.5 years full-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