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successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
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combination of expertise in computing education research, computerized image analysis, and human-machine interaction (HMI). Within the HMI unit, the Digital Ecologies Lab is led by Prof Mike Hazas and has five
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of digital communications and signal processing. High grades in the core courses are required. Skills in mathematical analysis, modeling, and network algorithms are essential. Analytical thinking, eagerness