51 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "J" positions at Lancaster University
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confirmed Reference: 0163-25-R2 Lancaster University is part of a 5-year £6.8 million EPSRC Programme Grant on “Securing Convergent Ultra-large Scale Infrastructures (SCULI) ” conducted jointly with Bristol
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teaching at University level with experience of teaching on a range of cyber-security related courses. The ideal candidate will have strong programming, systems and computational problem solving and software
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university experience? We’re looking for someone to play a key role in delivering and developing our vibrant intervarsity sports programme, including our BUCS competitions and Lancaster’s legendary Varsity
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teaching at University level. Applicants should be flexible enough to contribute to teaching across our undergraduate and postgraduate programmes. The ideal candidates will have strong programming, and
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Centre for Polar Observation and Modelling (CPOM) land ice altimetry activities at Lancaster University, and will work to deliver a programme of high impact research. The primary responsibilities
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allowance, excellent training and development opportunities, flexible benefits, an employee assistance programme, and flexible hybrid working options. If you share our commitment to excellent service and
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@lancaster.ac.uk to discuss the MARS programme in greater detail. How to apply Submit a job application via the ‘Apply Online’ button and upload the following mandatory attachments in PDF format with your
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programmes on 13 January 2026 12:00-13:30 (GMT). Prospective students will obtain information about our PhD programme and the application process, funding, our world-leading research, living in Lancaster, and
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resources Can plan and prioritise work effectively in a busy environment Works well with others and builds positive relationships with students and staff Is committed to supporting student wellbeing and
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atmospheric science or a closely related discipline • experience in developing and applying atmospheric models • strong skills in programming and data analysis using R, Python or similar languages