881 computer-science-intern "https:" "https:" "https:" "https:" positions in United Kingdom
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class or 2:1 undergraduate degree in Psychology, Cognitive Science, Computer Science, Neuroscience, Data Science, or a related field. An MSc degree in a relevant area is desirable though not necessary
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Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will consider applications to work on a
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significant priority on site. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To
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be expected to: - Develop a programme of research under supervision of senior investigators in the School of Cancer Sciences, in a subject area in basic and/or translational and/or clinical and/or
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programme. To build and create networks internally and externally to the university, to influence decisions, explore future research requirements, and share research ideas for the benefit of research
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achieved a First-class honours MEng/MSci or higher degree (or international equivalent) in Aeronautics, Mechanical Engineering, Physics or Materials. How to apply: Submit your application via our Apply
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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talented and dedicated PhD student with a 1st class or 2:1 degree, or good master’s degree, in a social science field such as behavioural science, human computer interaction, psychology, human geography
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qualifications, experience and competence: A higher degree in Artificial Intelligence, Automation Engineering, Computer Science, Computer Security, Cosmetic Science and Technology, Electronic Engineering
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, Computer Science, Material Science). Essential requirements include demonstrable experience with THz spectroscopy instrumentation; a strong understanding of the physics of semiconductor devices and photonic