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at https://energyaccess.duke.edu/ . The scholar selected for this position will work closely with EAP faculty (including Profs. Marc Jeuland and Robyn Meeks) and with co-director Jonathan Phillips, as
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research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and
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quantum optics to support and advance quantum science research. The position involves theoretical modeling of quantum optical and many-body systems, numerical computation using advanced integration and
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in cosmology. The candidate will work with Prof. Arun Kannawadi and Prof. Michael Troxel on building next-generation pipelines for joint analyses of imaging data from the Rubin Observatory’s LSST and
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program in ML / AI at the speed of wireless in Dr. Robert Calderbank’s research group. The successful candidate will conduct numerical simulations, develop and implement computational methods to interpret
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deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in interpretable ML and mechanistic model discovery. Submit a
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, and who have strong grounding in the methods and practice of oral history. The holder of this postdoc will teach two courses a year, one an introduction to oral history method and practice, and one
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. Robert Calderbank’s research group. The successful candidate will conduct numerical simulations, develop and implement computational methods to interpret complex data, and contribute to the preparation
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statistical and computational methods across diverse data sources such as prospective cohorts, registry datasets, and multi-omics platforms. The role requires strong proficiency in statistical programming
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outcomes. • Prepare manuscripts, abstracts, and presentations for scientific dissemination. • Maintain accurate documentation of scientific data, methods, and results. Definition & Expectations