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machine learning with spectral data to enable rapid, non-destructive detection of food adulteration and fraud. Machine learning combined with spectral data can play a vital role in combating food fraud by
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. The Procurement team at Lancaster work with world-leading academics and colleagues from other Professional Services areas such as Facilities and Information Systems. A wide variety of categories are managed
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technologies enable our students, staff, researchers, visitors, and partners to confidently and creatively use digital services, technology and data for the benefit of their learning, teaching, research or work
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and Joanna Logan of Constellate Global Talent on this search. For more information, please go to www.weareconstellate.com to download the candidate pack. Please contact Constellate on info
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’, and to several ML-based projects at the British Antarctic Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. Role Summary Implement and
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) data Genetic epidemiology and Mendelian randomisation studies (with support from senior scientists) Undertake meta-analyses. Conduct meta-analyses in R or Python across a range of cardiometabolic topics
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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interdisciplinary team has a wide range of skills and provides platforms and services for reproducible computational research that covers the entire data analysis lifecycle. You will collaborate with the team
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, integrated budgeting, and resource allocation aligned to strategic goals Forecasting & Financial Analysis: Ability to conduct philanthropic scenario planning and analysis to provide data-driven recommendations
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environment and knowledge of GCLP standards would be advantageous, but training will be provided where necessary. Additional information Informal enquiries are welcome and should be made to Susan Lehmann