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field is required. The candidate must have demonstrated proficiency in machine learning, natural language processing, and working with large-scale health datasets. Strong programming skills in both Python
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you have identified. There is no need to reach out to faculty at this stage in the application process. You will also be requested to provide contact details for three references. The application
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O’Shea (Woods Institute) Stanford Departments and Centers: Woods Institute Postdoc Appointment Term: Initial appointment is one year, with a second year contingent on funding, results, and mutual agreement
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will have a strong background in engineering—biomedical, electrical, or mechanical—with expertise in optics, imaging systems, or device development. Our research focuses on advancing molecular and
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at every stage: whenever feasible, materials and technology are made public and each measure within ROAR is published in open-access, peer-reviewed journals with the goal of building more systemic
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collaborated with social scientists Expertise in machine learning, particularly in computer vision and in relation to multimodal sensing data, mobile crowdsensing technology, and predictive modeling Strong data