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Field
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on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
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approaches (e.g., agile methods, model-based development, CI/CD pipelines) in concrete research projects. Publication of research results at national and international conferences. Assistance in preparing
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these systems and accurate and scalable optical performance models will be investigated with the aim to gain critical insight on the most adequate solutions to accommodate future capacity requirements in optical
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Job Purpose The candidate will contribute to the work of the consortium *Policy Modelling for Health (HealthMod”, 2024-2028) and associated projects, *working with Dr. Andreas Hoehn, Prof. Petra
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
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About the role This is an exciting opening for an Adult Physician with demonstrable expertise in controlled human infection models an exceptional track record in grant funding and publication
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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About the role This is an exciting opening for an Adult Physician with demonstrable expertise in controlled human infection models an exceptional track record in grant funding and publication
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comprise all aspects of applied mathematics, from model development and mathematical analysis to numerical implementation and statistical estimation of models as well as software packaging. What to expect
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patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung