252 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Manchester
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, which brings together more than 450 researchers with expertise in the foundational sciences supporting Synthetic Biology, including molecular biology, chemistry, engineering, materials science, computer
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require a research associate to work with us on this innovative project, using qualitative methods to explore the relationship between death administration and under-recognised forms of social inequality
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the international Synthetic Yeast Genome Project (www.syntheticyeast.org). This post is supported by the Chan-Zuckerberg Initiative (chanzuckerberg.com) for the development of yeast-based methods to enable scale-up
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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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jointly 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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mixtures. Funded by The Leverhulme Trust grant NMR Method for in Situ Monitoring of Heterogeneous Reactions (RPG-2023-105), the appointment will be made as part of a broad project including researchers in
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screening methods. High level of English communication, both oral and written, is required. The start date is 3rd November 2025, or as soon as possible thereafter, and the position is available for one year
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GWAS meta-analyses using publicly available genetic datasets (e.g. biobanks and summary statistics). The role will involve applying methods that account for trait heterogeneity (such as GSEM), enabling
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Type of award Studentship Value Fully Funded Studentships Specified use Please refer to the criteria on the BUDI website . Tenable period Ongoing Continuation of award Continuation of the award is subject to satisfactory progress. Number available This year, there are 50 studentships...
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with membrane proteins. Extensive experience in working with membrane proteins and developing related methods Working with other laboratory members to develop methods and contribute in maintaining