21 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at University of Manchester
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testing, numerical modelling, and machine learning (ML) aided design approach will be adopted, utilising the respective expertise in Brazil (testing and wind tower design experience) and the UK (modelling
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analysis will include legal doctrinal and empirical (i.e. legal computational and qualitative) methods that are specifically designed to capture and interpret internal (i.e. legal) and external (i.e
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will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in fundamental
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discipline is required, alongside suitable experience in research methods and techniques to work in a fast-paced research programme. International candidates are advised to carefully read the University
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This research assistant post provides an exciting chance to support a Cancer Research UK funded programme of research that aims to improve access to lung cancer early detection for individuals with
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to identify relapse signatures using active and passive digital monitoring and data collection methods. The post-holder will have some experience and interest in research on psychosis or in severe mental health
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market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid
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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 an equal
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Additional closure over Christmas/New Year Comprehensive health and wellbeing services including an Employee Assistance Programme Fantastic market leading Pension scheme Learning and development opportunities
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environments. · Expertise in computer literacy, MS Office packages and electronic databases. · Proven excellence in handling and entering data including an understanding of data protection and confidentiality