254 parallel-and-distributed-computing-"Multiple" positions at University of Manchester
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to drive forward a collaborative programme of research between the Divisions of Pharmacy and Optometry, Cardiovascular Sciences and Cancer Sciences. The post will be tenable on a fixed term basis until
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and capabilities within the University of Manchester to support Vernacare’s commitment to sustainability. Knowledge Transfer Partnerships (KTP) is Europe’s leading programme helping businesses
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preparation of accurate data using paper and computer based systems. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee
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the BBSRC including environmental microbiologists, ecologists and evolutionary biologists, computational modellers, and synthetic biologists. During this position, the post-holder will lead bioinformatic
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scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over
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Help shape the visual future of Manchester’s new innovation engine. Unit M is The University of Manchester’s new innovation unit — created to accelerate inclusive growth and unlock the full power of the University’s world-class research, innovation, and talent. We connect brilliant ideas with...
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by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and
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microbiologists, ecologists and evolutionary biologists, computational modellers, and synthetic biologists. During this position, the post-holder will lead mathematical modelling, bioinformatic analyses, and
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get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank
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of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact with our