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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
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is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School of Engineering
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/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. About our Team The post holder will join the research group led by Prof Erika Andersson. Also part of
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principal investigator Professor Mary Stewart, with co-investigators Dr Mauro Dragone and Dr Dan Hale, and researcher Bryony Nisbet from Heriot-Watt University, and Prof Ian Kellar from University
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and ambitions. If you apply for T&R, also include (4) a 1 page summary of your research plans and ambitions. Informal enquiries may be made to: Prof. Jurriaan Hage, Head of Computer Science, j.hage
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research project “Learned Quantitative Stochastic Imaging”, led by Prof. Marcelo Pereyra with funding from a prestigious UKRI EPSRC Open Fellowship. This project aims to establish the mathematical and
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image processing, from theory and algorithms to applications throughout science and technology. We particularly welcome applications from candidates with expertise and research focus on machine learning
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as well as how they inform each other. The supervisory team for this project will consist of Dr Marion Winters & Prof. Jo Drugan. Candidates are encouraged to contact Dr Winters (m.winters@hw.ac.uk
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under the lead of Prof Hand and Dr Carter is part of the dynamic, multi-national Applied Optics and Photonics Group (AOP: http://www.aop.hw.ac.uk/) at Heriot-Watt University. The HPLA group uses a wide
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programme development to Advisory Panel for the Chair, chaired by Prof Medero. Additional Information The Materials & Circularity Research Group (M&CRG) The transdisciplinary group from Heriot Watt University