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: The postdoctoral fellow is expected to develop data-driven mathematical and computational models, with a primary emphasis on the methodological rigor required for high-impact scientific publications. This position
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Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis
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qualifications (required at time of application) Doctoral degree in engineering, oceanography or a related field, with relevant background in data-driven modeling, machine learning and/or fluid mechanics
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. Experience with AI/ML algorithms and prediction model development. Familiarity with data structures, algorithms, software engineering best practices, and computational efficiency is highly desirable
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cancer. Work in the lab utilizes both genetically engineered mouse models and in vitro systems. A combination of state-of-the-art surgical, genetic, cellular, biochemical, imaging, and metabolic flux
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science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day
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Maxwell Postdoctoral Fellows, Ithaca NY In conjunction with Cornell’s Engineering Innovations in Medicine (EIM) initiative and the School of Operations Research and Information Engineering, the
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, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High standards
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Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Neurosciences Computational Biology / Data Analytics , Computational Biology , Computational