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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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CoSector CoSector – University of London is a digital services provider that operates as part of the University of London. It evolved from the University of London Computer Centre (ULCC), established in 1968
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Science, and a particular interest in programming. You will be experienced in using and teaching Python, Javascript, HTML, and CSS in a way that encourages and inspires students to embrace computer programming
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at scale. About You Applicants should preferably have an MSc/PhD in Computer Science/Engineering. They should have expertise in distributed systems and computer networks. Excellent knowledge and practical
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robotics, mechanical engineering or a similar engineering field. The job requires an in-depth knowledge about soft inflatable/eversion robotics, sensor data acquisition and processing, computer and system
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Consultative phone calls, email, and online meetings with prospective participants Attending school and industry events to meet prospective delegates, gauge interest and promote courses. Coordinating with
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on cause-specific and all-cause mortality estimation, and trends in life expectancy and lifespan inequality in low- and middle- income countries. The successful applicant will have a postgraduate degree
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Institute, a pioneering biomedical research institute in London where our wet lab is located. We are also part of Cancer Research UK City of London Centre, which sponsor our high-performance computer cluster
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imaging platforms and computer programming. The successful applicant will have an MSc or postgraduate degree in a relevant topic, relevant experience in AI-based imaging platforms and computer programming
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desirable. Within the diagnostic laboratory, computer literacy is essential as this position involves the use of a LIMS system whilst cataloguing and processing veterinary samples, including the recording