40 computational-physics-"https:"-"https:"-"https:"-"https:"-"Caltech" positions at Lancaster University
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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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also playing an active part in driving forward transformation and process improvement initiatives. You will help shape an efficient, compliant and forward-thinking service that supports colleagues
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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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which is part a four-year degree programme for Chinese students, leading to a dual award from both institutions in Accounting & Finance and Business Studies. You should focus primarily on delivering high
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of all abilities to be physically active in a welcoming, fully accessible environment. Recreation Assistant As a Recreation Assistant, you will work as part of a team to ensure a safe environment and high
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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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@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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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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ISS - Build Location: Bailrigg, Lancaster, UK Salary: £48,822 to £59,966 full time, fixed term Closing Date: Monday 12 January 2026 Interview Date: Tuesday 20 January 2026 Reference: 0987-25 Lancaster University Information Systems Services (ISS) department is looking for a Senior Developer to...
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bringing together observations and global atmospheric models using innovative statistical and machine-learning approaches. It will provide the first clear attribution of how different physical, chemical and