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policy learning methods, with hands-on experience in deep learning and reinforcement learning frameworks. Working knowledge of real-time control concepts (e.g., compliance, impedance, hybrid force
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machine learning, such as reinforcement learning, deep learning, generative AI, multimodal AI, statistical modeling, and network analysis. Preferred experience in the following areas: Recommendation
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. Perform image segmentation, anomaly detection, and extraction of biomarkers for disease classification. Design deep learning models for multimodal image registration and alignment of ultrasound with
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Cambridge, Massachusetts, POSTDOCTORAL ASSOCIATE , Mechanical Engineering , to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and
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-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support. WITEC brings together interdisciplinary researchers from MIT and
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Project Overview The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic
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, Embodied AI, or AI for Education. Strong background in deep reinforcement learning, with hands-on experience training agents in simulated, physical, or human-interactive environments. Experience with
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-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support. WITEC brings together interdisciplinary researchers from MIT and
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engineering, and cancer research, with a particular focus on developing computational methods to analyze imaging and clinical data in patients with liver cancer Position Overview Machine learning and deep
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: Experience with general methods in artificial intelligence and machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, and LLM. Experience in the integration of