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Laboratory in the ‘Digital Innovation Facility’ at the University of Liverpool. You will possess, or be close to completing, a PhD in Electrical Engineering / Electronics / Computer Science or a relevant
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to refereed journals, and work with and help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience
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apply if You have: A relevant PhD (completed or soon to be achieved) preferably in Experimental Psychology, Neuroscience or related fields (e.g. Computer Science, Data Science). Demonstrated experience
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of Psychological Science which isclosely embedded within Bristol Neuroscience with wide range of opportunities for career development, networking and collaboration across brain and behavioural sciences. See also
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for network constraints and uncertainty. Collaborating with other researchers on the project, you will also contribute to the design of a supporting cloud-to-edge computing architecture and profit-sharing
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you To be successful in this role you will be able to demonstrate the following: A PhD in a relevant subject area Knowledge of biopolymer chemistry, functionalisation and physicochemical
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tutoring of undergraduates and graduate students. Applicants should hold a PhD, or be close to obtaining of one, in physics or a related field and have a background in computational plasma physics
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Location: Whiteknights Reading UK Employment type: AR-Research Division: Computer Science Hours Per Week: 1.0 Employment Basis/Type: Full-time, fixed-term (3 years) Job Summary This post is a
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Alliance. Other duties will include contributing to community activities such as seminars and networking events and developing skills in many areas of computational biological research via independent study
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computational modelling using artificial neural networks. It brings together teams led by Mohamady El-Gaby (Oxford Experimental Psychology), Matthew Nour (Oxford Psychiatry), Rick Adams (UCL), and Maria Eckstein