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are now embarking on an exciting project to transform clients’ experiences (museums and cultural institutions) and drive their service-level through the development of a novel automated optimisation
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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the UK Space Agency, European Space Agency (ESA), NASA and Teledyne e2v. A main focus for the CEI is the development and characterisation of detectors for space missions. One such mission is the Habitable
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will design and implement scalable software infrastructure and data processing software for CHIME's massive datasets. The role includes algorithm development and data analysis of cosmology datasets
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
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of function. We have NIH-funded and industry-sponsored projects to develop, validate, and apply computer-based models of electrical stimulation of peripheral nerves to design improved therapies. The successful
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active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage of the unique opportunities the QDA provides
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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, spinal cord injury etc) through real-time neural control of wearable robotic exoskeletons. You will be developing next-generation (low and high-level) control algorithms for wearable exoskeletons that use