44 computer-science-quantum-"https:"-"https:"-"https:"-"https:" uni jobs at Lancaster University
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Please note: this job is only available to current employees of Lancaster University The Division of Health Research is seeking to appoint a Programme Coordinator, to work on the Doctorate in Clinical
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Technology Enhanced Learning (TEL) to become part of our internationally leading TEL doctoral programme team for 12 months. The TEL doctoral programme is delivered by colleagues in the discipline of
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for learning development for undergraduate and postgraduate students in the Faculty of Science and Technology. The role involves collaborating with faculty staff in the teaching of academic skills, offering in
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. Interested applicants are encouraged to review the information about the programme that is held online https://www.lancaster.ac.uk/health-and-medicine/dhr/dclinpsy/ and to arrange an informal conversation
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postgraduate programmes. This is a full-time position for a one year fixed period, with potential for extension. You should be able to demonstrate a strong computer science background and excellence in lab-based
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the opportunity to help deliver a truly world-class education experience in computer science and cyber-security. You should be able to demonstrate a strong computer science background and excellence in lab-based
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prototyping with access to Lancaster's high-performance computing facilities. Essential Requirements • PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field
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Reference: 0543-25 Lancaster University is delivering a major Curriculum Transformation Programme to reshape how education is designed, delivered and managed across the institution. There are 2 roles and
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future complex distributed systems. Developing high quality and impactful publications. Developing collaborations with academic, industry partners and EPSRC projects. You will have a PhD in Computer Science
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School of Mathematical Sciences Location: Bailrigg, Lancaster, UK Salary: £39,906 to £46,049 (Full time, indefinite with end date) Closing Date: Sunday 04 January 2026 Interview Date: Monday 09