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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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for finalists. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations
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will work across four Work Packages, developing partnerships with schools, project partners and other groups, and using mixed methods to collect and analyse new data and synthesize existing data sets
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peatlands for use by policy makers to define areas of peatland for conservation and community use. The mapping will make use of extensive ground data collected over the past decade and publicly-available
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to submit the names and contact information for at least two (or up to three) references. We encourage candidates to apply by March 2, 2026, but will continue to review applications for up to 30 days from
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at the time of application. Applicants are invited to contact Prof. L. T. Hsu at telephone number 3400 8061 or via email at lt.hsu@polyu.edu.hk for further information. Conditions of Service A highly
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measurements and in the underlying physical models. Machine learning (ML) techniques can be exploited to identify common patterns in the data and augment the physical laws of wave propagation, leading in turn
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signal processing and both time-series and frequency domain analysis of physiological recordings including ECG and nerve recordings. This data is used to investigate the cardiovascular effects of altered
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, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically