701 web-programmer-developer-university-of-liverpool Postdoctoral positions in United Kingdom
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for medicine use before and during pregnancy. This postholder would work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in
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the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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department and wider discipline. To engage in continuing professional development by participation in the undergraduate or postgraduate teaching programmes or by membership of departmental committees, etc. and
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We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new
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rapidly expanding Early Career Researcher community, who offer peer support alongside a broader university programme of professional development activities for research staff. The department resides in a
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The Department of Earth Sciences, University of Oxford, seeks to appoint a full-time Postdoctoral Research Assistant in Active Faulting and Earthquake Hazards. The post holder will report to Prof
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deliver presentations on research outputs/activities to audiences which may include academic and non-academic audiences. To assist with the development of research objectives and proposals. To plan and
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, apprenticeships and access to qualifications and routes to develop your career in the University. All staff have dedicated annual time to concentrate on their personal development opportunities. • Lots
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with