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opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The Faculty
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The Energy Systems and Infrastructure Assessment (ESIA) division at Argonne provides the rationale for decision makers to improve energy efficiency. ESIA develops and uses analytic tools to help
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and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care
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transform school meal monitoring in Kenya through AI-assisted technology. This position will lead the development and deployment of the PlantVillage Food app, which uses computer vision and large language
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multiscale simulation methods for quantum mechanical properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms
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analysis and algorithm implementation for high-throughput sequencing data. Act as a liaison between end-users, software developers, system designers and different departments. Oversee quality check for high
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pathology by developing, applying, and optimizing pipelines for the analysis of scanned anatomic pathology slides. This work is conducted within Dr. Nathan Pankratz’s laboratory in the Division
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of social media trends, algorithms, and audience behaviours. Comfortable working with multiple stakeholders in a complex environment. Strong organisation and time management skills. A team player who