384 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" Fellowship positions in United Kingdom
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note
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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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interpret data from flood risk models and GIS datasets Disseminate research findings for publication, research seminars etc Contribute to developing and applying flood risk models, and develop techniques
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provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want
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) a research PhD alongside their medical degree or equivalent clinical professional qualification. Application deadline: 30 April 2026 For information on how to apply, please click on the 'Apply' button
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agrifood systems and experience in research, data analysis and stakeholder engagement. You will demonstrate initiative and the ability to work both independently and as part of multidisciplinary and
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in aeroacoustics, with a strong emphasis on data analysis and a deep understanding of aeroacoustics fundamentals. Demonstrate excellent communication skills, both written and verbal, as evidenced by
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scale. The successful candidate will be responsible for: safely shredding cells using a bespoke instrumented, stabilised shredder; recording data for LCA including mass and energy balances, energy and
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successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our
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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