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the faculty lead if you are advancing in the review process. Required Qualifications: Completion of all doctoral requirements within the past three years and no later than September 1st, 2025 Has research
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external) How to Submit Application Materials: To begin the application process, please send an email using the subject line “Postdoctoral Position in Machine Learning for Advancing Mental Health” to Tina
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) diversity of genders, races and ethnicities, cultures, physical and learning differences, sexual orientations and identities, veteran status, and work and life experiences. Stanford Earth welcomes all who
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would include: Co-developing a hybrid machine learning/process-based model of anaerobic digestion processes Performing techno-economic and lifecycle analysis of microgrids build around novel biogas-fueled
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, mathematics, physics, or a related field. The ideal candidate should demonstrate a record of publications in the area. Strong knowledge in machine learning, statistics and programming skills (R, Python
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-inflammatory response. This molecular process plays a significant role in various acute and chronic inflammatory disorders including acute Graft versus Host Disease (GVHD), a common and severe complication
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apply cutting-edge deep learning models, including LLMs, to process and analyze large-scale EMR datasets. Design predictive models to assess disease trajectories, treatment outcomes, and patient risk
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-author manuscript with related analysis code and references later during the recruitment process. Stanford is an equal opportunity employer and all qualified applicants will receive consideration without
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the application process, submission of materials, or the program, please inquire with Robyn Foote, rfoote@stanford.edu (link sends e-mail) . Required Qualifications: The applicant must be enrolled in an ACGME