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outstanding candidates from other fields with rigorous training in mathematics and physics if they are strongly motivated to study the atmosphere and climate. Demonstrated ability to address significant
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Qualifications: Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Medical Physics, Mathematics, or a related field. Strong publication record and programming skills. Required Application
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, electrical engineering, cognitive science, applied mathematics, physics, or a related field. Strong computational background and hands-on experience building AI/ML models. Expertise in modern architectures
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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science, data science, applied mathematics, physiology, biostatistics, or a related field. Strong programming skills in Python and/or MATLAB. Experience analyzing physiologic signals, biomedical waveforms, time
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Posted on Thu, 06/04/2026 - 11:27 Important Info Faculty Sponsor First name: Alison Faculty Sponsor Last Name: Hoyt Stanford Departments and Centers: Earth System Science Postdoc Appointment Term: The initial appointment is for one year, with the potential for renewal for up to three years,...
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Research, the Institute for Computational and Mathematical Engineering, the Human-Centered Artificial Intelligence initiative, and numerous other interdisciplinary partners across campus. This rich
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Posted on Sat, 03/07/2026 - 12:45 Important Info Faculty Sponsor First name: Sindy Faculty Sponsor Last Name: Tang Stanford Departments and Centers: Mechanical Engineering Bioengineering Group or Departmental Website: https://stanford.edu/group/tanglab/(link is external) How to Submit...
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data
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for strong computational/mathematical skills with experience working with large, high dimensionality sequencing datasets, and biostatistics. Preference for fluency in shell, python, and R, and a familiarity