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for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated expertise in
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University are seeking a highly motivated, passionate postdoctoral scholar looking to make an impact in the field of dermatology, leveraging epidemiology, data science, and public health to advance health
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monitoring, ecological momentary assessment, mHealth, social media, and telemedicine) Data science for preventive medicine using biobanks, electronic health records, AI, and multi-omics Research methodology
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, Stanford PRL), career development resources, and competitive benefits and salary commensurate with experience. Required Qualifications: PhD in physics, electrical engineering, mechanical engineering
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cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and emergency
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looking for a challenging and rewarding postdoctoral fellowship in pain science, substance use disorders (SUD), or data science? Join the next generation of pain and SUD researchers at Stanford’s Pain
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on manuscripts, presentations, and research proposals Required Qualifications: PhD in psychology, neuroscience, biostatistics, computer science, or a related field. Strong interpersonal and technical skills
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-AI), and retrieval-augmented generation (RAG). Tina Hernandez-Boussard, MS, MPH, PhD (link is external) , is Professor of Medicine (Biomedical Informatics), of Biomedical Data Science, of Surgery and
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. This position will be located in the Center's Cancer Cell Therapy Data Hub, which is led by Dr. Zinaida Good and provides a collaborative environment that pushes the cutting edge of technology to learn from
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applying data science principles and techniques to biomedical datasets. Applicants should be comfortable using coding skills such as SQL, R, and Python to extract data from databases, clean it, and analyze