198 parallel-computing-numerical-methods uni jobs at University of Manchester in United Kingdom
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with electronics or computer programming is also highly desirable. Successful candidates may be subject to pre-employment screening carried out on our behalf by a third party. The offer of employment
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The University of Manchester The University is a global institution known for innovation and world firsts, with 25 Nobel Prize winners. The computer revolution started here in 1948 when a machine
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cultural heritage is mirrored by the achievements of some of the University’s most celebrated names. The computer revolution started here in June 1948 when a machine built by Tom Kilburn and Sir Freddie
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experience in these research methods. You will have experience with designing search strategies for systematic reviews and applying them to international journal databases, screening search hits, and
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care deeply about career and personal development, offering a structured induction programme for new staff, an annual performance and development review, staff training for all career stages and
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/Rochdale. CEAMS is a multimillion InnovateUK funded programme, part of the Innovation Accelerator pilot of £100m+ research funding from the government’s Levelling Up plan across 3 regions: Greater Manchester
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leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure
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including 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
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the “Better Methods for Better Research” scheme. An “FFX” study is the “First Few X”, where X could be e.g. “hundreds” or “thousands”, which is run early in a new outbreak to obtain key information to inform
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We are seeking a Technical Specialist to contribute to a £5m programme in hereditary and sporadic cancers, exploring how the adaptive immune system can be exploited for cancer early detection