63 web-programmer-developer-"https:"-"University-of-Cambridge"-"https:" positions at Lancaster University in United Kingdom
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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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. 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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application development lifecycle by implementing effective tools and processes. You will set and maintain security standards for applications, including mobile platforms, APIs, and microservices, utilising
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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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@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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initiatives, and offer holder events. Act as the first point of contact for applicants, schools, and other stakeholders, providing accurate and professional communication. Plan and deliver events including
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research-related roles. You will report directly to the Pro-Vice-Chancellor (Research & Enterprise). The Director will be responsible for further developing the University’s research culture strategy and
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educated to GCSE level in Maths and English, reliable with an excellent attendance record and be committed to high standards. You will be comfortable in using various computer software programmes and
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governance of processes relating to PGR at Lancaster University. The successful applicant will be expected to develop a new and revised delivery plan for PGR at LU - including the revision of governance and
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: 0927-25 The Department of Psychology at Lancaster University is seeking to appoint a Senior Research Associate in Machine Learning (ML), at 0.8 FTE (4 days per week) to develop novel computational