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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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. Successful candidates will be expected to contribute to technique development/material synthesis, plan and lead research projects, acquire and analyze experimental data, supervise and mentor undergraduate
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single synthetic program of computational geometry. Specific interests include morphology, design topology, discrete differential geometry, packings, and machine learning methods for unstructured geometric
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of biomechanics and computer vision to document the wingbeat frequencies and phototactic behaviors of diverse insects under diverse contexts. Candidates will be expected to plan and lead behavioral experiments
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(relevant coursework may count towards experience). Histology and microscopy skills. Skills in applicable computer technologies, including Microsoft Office, Adobe Photoshop, and Illustrator. Effective written
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. Basic Qualifications PhD in Physics, Engineering, Biology, or Applied Mathematics Additional Qualifications The ideal candidate should have experience with using ideas from physics, biology and
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allowance, as described below. Award Project Period Individuals may receive up to 5 years of aggregate Kirschstein-NRSA support at the predoctoral level (up to 6 years for dual degree training, e.g., MD/PhD
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statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD program and pursuing an academic career (strongly preferred). We prefer
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devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts
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managing very large datasets; Machine learning skills; Writing papers for management and economics journals; Interest in reskilling initiatives; Working with partner organizations or companies. Basic