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about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https://www.shih.hms.harvard.edu/ . What you’ll do: Develop DNA-based sensors that seed crisscross assembly of single
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. Computational Protein Design: Experience with generative models (e.g., AlphaFold, RFdiffusion, ProteinMPNN) for designing novel condensate drivers or sensors. Collaborative and interdisciplinary research
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learning methods (e.g., predictive modelling, clustering, multivariate integration) to large-scale time series and sensor datasets. Contributing to the development of risk models and decision-support tools
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floating laboratories in the project. The research will involve processing and analyzing large volumes of operational data from onboard systems, including propulsion, navigation, environmental sensors, and
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sensors, or similar instrumentation) involving microphones and accelerometers, or multi-channel data acquisition systems will be advantageous. Knowledge of building acoustics, structure-borne noise
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, if applicable. Enrolment in Master’s degree in Electronic Engineering or Biomedical Engineering. Work plan: 1) Build pneumatic actuators (T1); 2) Build tactile sensors to collect group tactile interactions with
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floating laboratories in the project. The research will involve processing and analyzing large volumes of operational data from onboard systems, including propulsion, navigation, environmental sensors, and
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multimodal data (e.g., wearable sensors, EHRs, behavioral data) to detect early signs of chronic conditions such as cardiometabolic, mental health, and frailty-related disorders. Build generative AI systems
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of measuring accumulated fatigue damage in steel structures prior to crack initiation, particularly in the high-cycle fatigue regime. The research focuses on developing a novel NDT-based technique and sensor
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development integrating audio, vision, language, and sensor data for embodied and socially intelligent systems. Drive publication output from concept development through submission to leading venues. Grant