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, or low-power hardware. Key research directions include (but are not limited to): Data-efficient learning: Zero-shot and few-shot recognition, semi-supervised learning, and techniques that reduce reliance
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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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explore multimodal learning and unlearning techniques using vision, language, and audio signals to build intelligent systems capable of interpreting and responding to human actions and emotions. This work
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their pandemic potential and classification as bioweapons. This project aims to develop a machine learning-accelerated NMR platform for the discovery of high-affinity inhibitors targeting viral RNAPs. Building
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develop collaborative research projects in a manner consistent with the mentor’s research plan and contribute towards the making of scientific advances in the field of work. · Demonstrates ability to teach
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computing and machine learning—unlocking new possibilities for precision metrology and non-destructive evaluation (NDE) in modern industry and healthcare. This PhD will push the boundaries of next-generation