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PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data engineering, and
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surgical videos and clinical data Collecting and analyzing data to identify and address disparities in bariatric surgery Collaborating with a diverse team of clinicians, data scientists, and engineers
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the Human-Centered Artificial Intelligence Institute, bringing together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights
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Posted on Tue, 12/16/2025 - 16:52 Important Info Faculty Sponsor First name: Jack Faculty Sponsor Last Name: Baker Stanford Departments and Centers: Civil and Environmental Engineering Postdoc
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Posted on Tue, 12/16/2025 - 13:32 Important Info Faculty Sponsor First name: Barbara Faculty Sponsor Last Name: Simpson Stanford Departments and Centers: Civil and Environmental Engineering Postdoc
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join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
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cell immunotherapy, and cytokine biology. This position offers the opportunity to pursue independent and collaborative research integrating classical immunology with cell and protein engineering
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, genetics, and neurodevelopment, along with access to state-of-the-art imaging technology and advanced computational resources. The fellow will have structured opportunities for professional development
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biochemistry and biophysics directed at the discovery and development of new antibacterial therapeutics targeting difficult-to-treat bacteria. More broadly and coupled to drug discovery, we define the molecular
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a