149 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Manchester in United Kingdom
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-term behaviour, supported as appropriate by computational experiments. Professor Luczak has developed various mathematical techniques for studying the speed of convergence of Markov chains
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, magnetism and computational studies of low oxidation state rare earth chemistry. This post is part of the project “Interdisciplinary studies of low oxidation state rare earth elements,” supervised by Profs
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lab manual, mission statement, and current research topics please visit: http://whelanlab.co.uk What you will get in return: Fantastic market leading Pension scheme Excellent employee health and
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second PDRA undertaking physical and computational studies. For recent publications relevant to the project see: J. Am. Chem. Soc. 2023, 145, 27993; J. Am. Chem. Soc. 2024, 146, 15000; Nat. Commun. 2019
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an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major retailers As
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Unit has expanded its activities to develop rapid, point-of-care diagnostic assays for the detection of human genetic variants and pathogens using these nucleases. We have secured funding to recruit a
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and schemes including: Generous annual leave allowance, including Christmas/New Year closure. Pension scheme membership to provide benefits for you and your family. Well-being programme with counselling
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training throughput. Ensure that the specialty systems are fully operational and comply with the University’s Health and Safety standards. What will you get in return: Fantastic market leading Pension scheme
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made up of five academic departments. For more information, please visit https://www.se.manchester.ac.uk/. We are seeking an enthusiastic and proactive Senior SEM Technician to join our dynamic technical
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About the role: This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure