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integrate, adapt and develop methods (using packages such as BioSPPy ) for the collection, processing and analysis of physiological signals measured for determining deception. The project can take different
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triggers like abnormal electrical signals (focal triggers) and swirling patterns of electrical activity (re-entrant rotors), which interact across the heart’s inner and outer layers. Because most studies
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Junior Research Group in the field of Metabolic Plasticity. What we are looking for in applicants: We are looking for established scientists in an early career phase (up to 6 years post-PhD) who
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at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD, will initially be under-appointed as a Research Assistant (Grade 5, Point 38 - £34,132), moving
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Organisation Job description This PhD project at GELIFES, the University of Groningen, aims to characterize underwater soundscapes of fish and marine mammals to evaluate impacts of wind farms in
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
waveguides and fibres Digital signal processing Design and analysis of photonic systems. Applicants must have a Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano
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to international students). How to apply Applicants are asked to follow our usual online application process, by clicking the 'Apply' button, above. On the online application form, you should indicate that you would
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Supervisors:Dr Kevin Worrall & Dr Yao Sun Year 1 MSc Course: MSc Communication and Signal Processing Year 2 – 4 PhD Location: Glasgow University Research Abstract: This project aims to enhance satellite
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Supervisors:Dr Dezong Zhao & Prof Lei Zhang Year 1 MSc Course: MSc Communication and Signal Processing Year 2 – 4 PhD Location: Glasgow University Research Abstract: This research aims to enable robots to tackle
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to have a proactive attitude towards problem solving independently. The student is expected that she/he has prior experience using machine learning tools before and be familiar with signal processing tools