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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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, and rigorously evaluate machine learning and deep learning models (CNNs, DNNs, transformers, graph neural networks, diffusion models, multimodal models, reinforcement learning) as well as software
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/ *This position is fully paid and visa may be arranged Basic Qualifications • Bachelor’s or master’s degree in economics, mathematics, statistics, computer science, or related fields • Strong quantitative and
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RedCap and Qualtrics to collect data and export data. Data visualization experience, making graphs and figures. Excellent written and verbal communication skills. Ability to work independently and as part
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their degree before the start date. Deadline Month: May & November Description: Grants support anthropology research that demonstrates a clear link to anthropological theory and debates, and promises to make a
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/Administrative Internal Number: 495976 Department: Chemistry Salary: Commensurate with Experience/Education Description: Provides expertise in support of research projects in engineering, biology, mathematics
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/Administrative Internal Number: 495975 Department: Chemistry Salary: Commensurate with Experience/Education Description: Provides expertise in support of research projects in engineering, biology, mathematics
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of scientific theory and methods Effective oral and written communication skills General computer skills and ability to quickly learn and master computer programs Excellent organizational skills and demonstrated
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] Position Title: Position Type: Postdoctoral Position Location: Yuseong-gu, Daejeon 34126, Korea, The Republic of [map ] Subject Areas: Cosmology / Astrophysics Theory Gravitational Physics / Gravitational
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simulation techniques, including density functional theory (DFT), molecular dynamics, Monte Carlo methods, and free‑energy perturbation calculations. Develop and implement novel computational methodologies and