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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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for publication ● Pursuing independent research projects in conjunction with the focus of the labs Qualifications ● PhD in a field falling within the social, behavioral, cognitive, and/or environmental sciences
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multimodal interaction. Our research aims to bridge the gap between visual perception and actionable assistance, with applications including: · Video-based skill coaching and instruction
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studies using microbiological and biochemical tools. · Lead compound isolation and structural characterization efforts in collaboration with chemistry teams. · Mentor and train students and junior
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aspects of data science. This position will focus exclusively on research and will not have teaching or service obligations. The successful candidate will devise and conducting numerical experiments
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harnessing the fundamental sciences to break AI out of its black box using techniques from mathematics and theoretical physics. The postdoctoral researcher will be under the supervision of Prof. James
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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chloroplast protein-protein interactions network (Wang et al., Cell 2023; Wang et al., in preparation for submission). Qualifications: The ideal postdoc candidate must have a Ph.D. in plant science, molecular
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using various methods, technologies for printed electronics, tactile sensing and haptics, electronic skin and its application in robotics and wearable systems. Knowledge of simulation tools (e.g
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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel