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energy materials, aligned with CHIPS-Act priorities. Anchored in Boston, the theme builds on cross-college collaboration among COE (College of Engineering), Khoury College of Computer Sciences, Mills
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related field completed within the last 5 years. Experience utilizing computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage. Proficiency in materials data
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diffusion policies, cross-embodiment skill transfer through latent action diffusion (ICRA 2026), sample-efficient reinforcement learning and policy fine-tuning directly on the real robot , vision-language
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