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HESES), data processes, and student information systems (currently Thesis Student Management). You will manage competing priorities, work independently when required, and use your judgement and initiative
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- pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health and wellbeing, including a
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, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information
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further information about the group’s work and publications at http://osbornelab.group.shef.ac.uk. Enquiries should be directed to Colin Osborne c.p.osborne@sheffield.ac.uk. Please apply for this project
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Dynamic skewness in longitudinal data models School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Miguel Juarez Application Deadline: Applications accepted all year round
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entitlement is 28 days’, plus 8 bank holidays and 4 University closure days pro rata - For information on our staff benefits, please copy and paste this link into your browser: https://www.uwtsd.ac.uk/jobs
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their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... Data
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are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication skills. The Gravitation and Cosmology Group at Sheffield
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across the University. We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. Closing Date: 13 April 2026
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of Cambridge; https://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield, School of Computer Science). Are you passionate about uncovering the brain mechanisms that support adaptive