184 parallel-programming-"Multiple"-"Simons-Foundation" uni jobs at University of Manchester
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Overall Purpose of the Job: To provide administrative support for Programme & Delivery Management activities. To deliver excellent service provision and support colleagues with continuous
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employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and
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research environment (or a higher, preferably research, degree). Experience with Active Directory and/or LDAP. Experience with parallel file systems, particularly GPFS is an advantage. Experience of using
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programme. The post is available for an immediate start for a fixed term period of 12 months to provide maternity cover. The post holder will be responsible for providing day-to-day project support and help
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We are excited to offer this exciting opportunity for an experienced Project Manager to manage and co-ordinate a programme of work funded by NERC to understand air pollution exposure during
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will play a major role in supporting the administration within the portfolio, working closely with Prof Frangi and the Programme Manager and will involve working proactively with multiple teams in
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Williams, known affectionately as ‘The Baby’, ran its first stored program. The celebrated wartime codebreaker Alan Turing worked on this computer during his time at Manchester. The University is committed
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, Warwick University and University College London. The research programme aims to address the sustainability of engineering plastics across the transport, electronics and construction sectors by exploring
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priorities. Demonstrates ability to integrate organisational strengths and development areas into people plans in response to internal and external influencers. Analytical Thinking - Uses multiple sources
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This post provides an exciting opportunity to contribute to a Cancer Research UK funded programme of research to improve access to lung cancer early detection for individuals with intellectual