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, machine learning, computer science, statistics, engineering, medicine, or a related field. Strong candidates may have experience with large-scale human datasets, machine learning, statistical genetics
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, Computational Neuroscience, Computer Science, or a related field. Strong background in neuroimaging/physiological data analysis (e.g., MRI, EKG) and programming (e.g., Python, MATLAB, R). Expertise in
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more of the following areas are encouraged to apply: Foundation Models Agentic AI Reinforcement Learning Medical Image Analysis Required Qualifications: Ph.D. in Computer Science, Electrical
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have demonstrated strong research abilities and exhibit a commitment to teaching and mentoring. The successful candidate must have a Ph.D. in statistics, data science, computer science, mathematics, or
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must have a Ph.D in statistics, data science, computer science, mathematics, or a related discipline at the time of appointment and will be expected to teach and advise students at both the graduate
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neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related field Demonstrated expertise in one or more of the following areas
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: ASAP Group or Departmental Website: https://med.stanford.edu/ibd-celiac-disease.html (link is external) How to Submit Application Materials: Interested candidates should submit a single combined PDF
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Position Description The Department of Biomedical Data Science (DBDS) at the Stanford University School of Medicine (SoM) invites applications for an open-rank faculty position at the Assistant
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Departmental Website: https://colmanlab.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should submit a single combined PDF that includes (1) a letter of interest
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bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer science, data science, applied mathematics, physiology