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by working on research projects in AI safety and robotics, contributing across the full research lifecycle: algorithm and system design, code development, experimental validation, and scientific
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project that involves designing microfabricated biomedical sensors and the readout circuitry for recording electrophysiology and electrochemical signals from biological samples. The overarching goal
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algorithms Designing new algorithms and investigating their mathematical performance guarantees Participate in writing up the results and submission for scientific publication Collaborate with and mentor
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algorithms Designing new algorithms and investigating their mathematical performance guarantees Participate in writing up the results and submission for scientific publication Collaborate with and mentor
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considered. You should demonstrate: A strong foundation in micro- and nanofabrication, materials and surface modification, and sensor integration, along with competence in electronics, data acquisition, and
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-on expertise with assembly and sealing of small-scale fluidic systems. General knowledge of sensors and electronics, sufficient for close collaboration with chemistry and electronics teams, is preferred
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members. Participate in traffic scenario generation project and pedestrian modeling project. Develop sophisticated AI-driven algorithms that create realistic, safety-critical test scenarios for autonomous
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interaction Research and design multi-modal foundation models to enhance robot autonomy, social perception and collaborative decision making Design and build machine learning algorithms and frameworks
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members. Participate in traffic scenario generation project and pedestrian modeling project. Develop sophisticated AI-driven algorithms that create realistic, safety-critical test scenarios for autonomous