268 parallel-computing-numerical-methods-"Prof" positions at University of Manchester in United Kingdom
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We are looking for an enthusiastic NMR spectroscopist to join our team investigating the mechanisms of action of phosphoryl transfer enzymes. The current position will focus on solution NMR methods
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processes that can be targeted to develop new treatments against brain tumours that form in individuals with the rare disease NF2 schwannomatosis. The successful candidate will join the lab of Prof. Kevin
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The University seeks to appoint a research associate with expertise on experimental techniques in the Department of Computer Science to work on an interdisciplinary project on Skyrmionics
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Imprinted Diagnostics You will also be part of the expanding multidisciplinary Bioinspired Materials Research Group (6 PhD students, 3 PDRAs and 1 MSc student), led by Prof Marloes Peeters, who is one
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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 and toolpaths
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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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We seek an ambitious, experienced and self-motivated individual with experience in multi-omics bioinformatics analysis, to lead the new Advanced Bioinformatics and Computation (ABC) group. The post
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End User Compute – Technical Lead Grade: 6 Contract Duration: 12 months Directorate: IT Services Division: IT Service Management About IT Services IT Services at the University of Manchester is a
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activities and participate in workshops designed to secure follow-on funding The PDRA will work closely with the Principal Investigator (PI) Prof Gareth Clay (Department of Geography) and Dr Tomas Frederiksen
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and gut microbiome, funded by an 8-year Wellcome CDA in collaboration with Prof. Matthew Hepworth. During this position, the post-holder will design and lead bioinformatic analyses of large-scale