24 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"Fermilab" positions at Lancaster University
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professional services team. You will provide high-level administrative support for the undergraduate medical degree programme, coordinating a wide range of activities across clinical sites. Excellent
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at Lancaster University. The role holder will lead the Discover Programme, a core pre-16 WP initiative, working with local secondary schools. This pre-16 programme includes in-school workshops and campus visits
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professional services team. You will provide high-level administrative support for the undergraduate medical degree programme, coordinating a wide range of activities across clinical sites. Excellent
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, e.g. MBChB. This AKT project is funded by UKRI through Innovate UK . This programme has been designed to create short-term collaborations between a university and business to deliver a rapid and
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. Following the demonstration of single bit devices and small digital arrays, we are now expanding the research programme to include investigation of the feasibility of analogue devices for use as elements in
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team Our small and friendly team works closely with senior management to provide project and programme management to initiatives of significant scale and scope critical to delivering aspects
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term contract for a 12 month period, to provide a professional service for undergraduate programme delivery. You will be a member of the Biomedical & Life Sciences administrative team of Undergraduate
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the health economic component of the project. This includes designing the health economic plan which will involve workshops with key stakeholders to understand how sponsorship deals may impact on population
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: To be confirmed Reference: 0163-25-R 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
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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