358 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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Field
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. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 33 months. The role The role is an Innovation Action
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research collaboration across seven institutions (Leeds, Keele, Nottingham, Oxford, Imperial, Southampton and Aberdeen) funded by Arthritis UK. You will be expected to plan and conduct work to identify
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on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic science, mathematics, physics
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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Research Fellow to join the Big Data in Health Group About us The Big Data in Health group at the University of Southampton is based in the Primary Care Research Centre. We aim to understand patterns, trends, and associations of diseases to inform preventive action in the UK and international...
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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
/administration processes. Collaborate on the planning and organizing of research programmes. Coordinate work with others to ensure synergy and avoid duplication of effort. Knowledge of the protected
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to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems
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-oriented researcher who is committed to producing careful, high-quality technical work. The primary responsibility of this role is to plan and execute field measurements and analytical investigations of lift
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: Essential criteria 1. A relevant undergraduate degree (e.g. computer science, psychology, neuroscience, engineering, mathematics, statistics) with at least a 2:1 or equivalent 2. Excellent
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, theoretical physics, nanotechnologies, quantum and ultra-low temperature physics, and astronomy and cosmology. Research is supported by GRID computing facilities, the SuperFab nanofabrication facility