35 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"P" positions at Lancaster University
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Temporary Job Status Negotiable Hours Per Week 36 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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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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estimators • excellent programming skills, ideally in Python • enthusiasm to work collaboratively with an international team. Why work with us Lancaster is a research-intensive university. REF 2021 rated
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flexibility to deal with ongoing developments within the placement programme and Employability Team. Experience of working in a student facing role and an understanding of student employability needs is
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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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. You will also be expected to propose follow-on research based on the initial programme of work and to use the results to feed into the wider project team’s agenda. You will be responsible
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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