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The University of Bristol is seeking a Research Associate to work with Dr Ben Faber on a Wellcome Trust-funded project entitled ‘Utilising large joint structural phenotypes of osteoarthritis for enhanced disease prediction and novel treatment target discovery.’ The primary aim is to leverage...
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quantification. The interrelation of these three topic areas is increasingly important for future lightweight and sustainable composite structures. The ideal PhD candidate will enjoy working on finite-element
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digestions and separate K from matrix elements using ion-chromatography. They will also prepare and calibrate a 41 K-40 K spike that will be added to samples for the analysis procedure. Potassium samples will
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team, you will lead on workforce planning and provide analysis and interpretation of HR management information. You will also take responsibility for managing organisational reviews and supporting
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textural analysis to forensically detect drivers of fast-paced changes during or between eruptive episodes. You will also collaborate with the wider team to contextualise some eruptions within the historical
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We are seeking to fill a number of postdoctoral research associate positions aligned with a Prosperity Partnership project involving AstraZeneca and Labman: drEAMcat - Earth-Abundant Metal Catalysis
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Please note this role is primarily based within the School of Anatomy (BS2 8EJ), with elements taking place at the Langford Campus (BS40 5DU). Bristol Veterinary School is recruiting a full-time
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, computational statistics, inverse problems, numerical analysis, probability, statistical machine learning, stochastic analysis, and uncertainty quantification. You can demonstrate the ability to develop new
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in a relevant field is essential, as is a strong track-record in laboratory-based discovery research. Experience working with big data and driving statistical analysis is required and experience in
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successful working relationships with a professional Procurement team and a broad range of stakeholders. Conducting spend analysis to identify opportunities for savings and efficiencies and increased delivery