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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and
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appreciated, including dynamic, stochastic and other quantitative approaches in conditions of uncertainty. Experience in machine learning and other AI methods is a benefit, as is familiarity with the bioeconomy
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. These complementary datasets will be integrated using multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and to reveal the interactions linking microbiome
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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the first, the student will develop expertise on the lab's existing machine perfusion platforms for human and rat liver This will include learning the engineering design, assembly, and operation of
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candidate will be expected to work onsite as of their effective start date. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a
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security markets, delivering advanced technologies and solutions to both military and civilian customers. Leonardo’s UK Electronics Division specialises in semiconductor growth, device fabrication, and
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, implementation, and testing of deep learning algorithms for speech and audio processing. Implementation of systems for participation in competitive technology evaluations. Where to apply Website https://www.uam.es
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, and financing, to expand the course offerings to students interested in pursuing this field, or to teach existing courses. This will be a full-time 9 or 12-month appointment at the rank of Associate
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Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience, sustainability, and environmental