85 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"St" 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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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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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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of working in a similar environment. You should be comfortable working with computers and multiple software systems. You will need to be educated to GCSE level in Maths and English and be committed to high
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excellence in teaching, research, and engagement. This position will support the undergraduate program in Business Management and the postgraduate program in Management. It will also complement
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to undertake assignments across project and/or service functions as required. You will work in close collaboration with the programme team and wider stakeholders, building effective working relationships at all
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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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. This position will support the undergraduate programmes in Accounting & Finance and Business Management, and the postgraduate program in Management. It will also complement the department’s current strengths in
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at Lancaster University, the London School of Economics, the University of Bristol and the University of Warwick. The DASS Programme will consider the foundational statistical challenges of identifying anomalous