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. Responsibilities will be both independent and collaborative, with an emphasis on career development, scholarly productivity, and the application of implementation science methods to real-world public health
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, ECCV, ICML, NeurIPS, and ICLR annually. Additionally, contribute to teaching the CAP6411 course. Minimum Qualifications: PhD in Computer Science or another related field Preferred Qualifications
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& Intervention: Collect study data using various methods, including administering questionnaires and managing data from the Fitbit monitoring platform. Deliver core intervention components (e.g., coaching
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simulations. The Scholar will receive extensive technical and professional training in simulation, fabrication methods, and RF-electronics. They will also learn many interdisciplinary skills
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mixed-methods studies in real-world and in-person laboratory contexts. They will also have experience collecting and analyzing multimodal multichannel quantitatively and qualitatively. They must also have
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institutes. Supervise and train graduate and undergraduate students. Minimum Qualifications: PhD in Biomedical Sciences, Bioengineering, or any related field. Preferred Qualifications: Working knowledge
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students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant
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organize group meetings, co-mentor graduate and undergraduate students, and publish high-impact scientific journal articles and conference papers. Minimum Qualifications: PhD in Mechanical Engineering