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computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial
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(or equivalent) in a relevant subject, be computer literate and in addition have experience of handling a variety of different sample types. The post is available until 28th February 2027. Our
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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening
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relevant defective information and repairs. All defects to be reported immediately to the help desk for further action. Must be computer literate and work well with computer/tablet systems What’s in it for
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for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students
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). You will have experience of managing and working with clinical research or patient data e.g. data entry, data coding, entry validation and reporting, with critical and intelligent attention to detail
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related to electric, electronic and robotics engineering, as well as an advanced design studio. Further information This is a full time, permanent position with a starting salary of £29,478 per annum
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Machine Learning Research Group within the Department of Computer Science. Further information This post is a full time, fixed term contract for two years, with a potential extension to three years
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, data collection and analysis, and project coordination. The postholder will work closely with academic colleagues, community partners and national stakeholders to support the design, implementation and
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) and works closely with the Centre for Ultrastructural Imaging (CUI). Together, we provide everything from cryo-EM sample preparation and storage to screening and high-resolution data collection. About