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modeling) and data assimilation and an interest in analyzing climate risks. We especially value applicants who are highly motivated to collaborate across more than one discipline and who have good
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biofluid samples Conceive, prototype, and benchmark new computational and AI methods for liquid biopsy, including techniques to bridge to other data modalities, e.g. imaging Apply modern machine learning
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benchmark for auto-formalization of mathematics, and to engage in related research. Duties will include contributing to the benchmarking dataset, organizing and ensuring the quality of the data contributed by
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into a book, this is not one of them. The Postdoctoral Associate should be prepared to put their dissertation project on the backburner and dive into new data collection. Dr. boyd’s philosophy is that
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administer a benchmark for auto-formalization of mathematics, and to engage in related research. Duties will include contributing to the benchmarking dataset, organizing and ensuring the quality of the data
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validation of processes of utility. Anticipated Division of Time Design and conduct experiments to produce extruded products with desirable characteristics (30%) Collect, analyze and evaluate data, using
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information for three references (letters of recommendation will be requested later in the process) For further information about the position, please contact Dr. Fenghua Hu ([email protected] ). Deadline and
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. Anticipated Division of Time • Design and conduct experiments to produce extruded products with desirable characteristics (30%) • Collect, analyze and evaluate data, using appropriate methodologies (20
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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lead analysis and integration of household-level socioeconomic data with production, herd dynamics, and methane emissions datasets to develop and evaluate a dynamic simulation model of smallholder dairy