64 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Liverpool
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Strategic Change is working in partnership with Senior Leaders to deliver a number of projects and programmes in support of Liverpool 2031 and other strategic priorities and has an exciting
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to acceptable standards, within the agreed programme and within the approved budget allocation in a safe way following the Health and Safety policies of the University. You will also oversee or on an audit basis
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Spanning 100 acres, the University¿s city campus sits within Liverpool¿s Knowledge Quarter and comprises teaching spaces, student residences, administrative buildings, and research facilities, set alongside a mix of hard and soft landscaped areas. The University of Liverpool is seeking an...
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programme, and the transport and insurance of the collections. You will closely with exhibitions colleagues on specific projects and works with curators on specific collection acquisition tasks, reporting
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fertiliser equity and realising NH3's potential as a zero-carbon fuel. The broader Fellowship programme focuses on the development and application of operando vibrational spectroscopy and optical/electron
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. The Wellcome Trust, Medical Research Council and Global Antibiotic Research and Development Partnership (GARDP) have recently made significant investments in our programmes including new approaches to optimise
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team of academics contributing to the design, delivery, assessment and evaluation of clinical skills teaching and assessment for the undergraduate medical programmes. The core duties of the post will be
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Spanning 100 acres, the University's city campus sits within Liverpool's Knowledge Quarter and comprises teaching spaces, student residences, administrative buildings, and research facilities, set alongside a mix of hard and soft landscaped areas. The University of Liverpool is seeking a skilled...
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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The School of Computer Science and Informatics is seeking to appoint an individual to work on rigorous methods to address the risks of generative AI systems. The primary focus will be on techniques