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Opportunities for hybrid working (typically 60% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . About the role The Blavatnik School
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-of-the-art genealogy-based statistical inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across
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(typically 60% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . About the role The Blavatnik School of Government is seeking a Research
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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, atmospheric neutrinos and astrophysical neutrinos. The Lancaster group has significant roles in the development of the simulation software framework, data acquisition and trigger systems, and sensitivity
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(s) will have to ensure that they have the right to work in the UK or be able to secure this through another means without the sponsorship of the University. Further information about sponsorship is
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under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK
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genetic data Apply knowledge in a way which develops new intellectual understanding of transcription control Disseminate research findings for peer reviewed publication, research seminars conferences and
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months. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of your CV. Please contact Prof Ricky Wildman
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catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with