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the Stanford Woods Institute for the Environment’s Realizing Environmental Innovation Programs (https://woods.stanford.edu/research/funding-opportunities/realizing-environmental-innovation-program(link is
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: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with
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of recently published analyses assessing the impact of aggregation, outcome measure, and other analytic choices on results developing and implementing a computational model to simulate transmission dynamics
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Medicine) Contribute to grant writing and interdisciplinary project development Required Qualifications: PhD in Human Computer Interaction, Information Science, Computer Science, Biomedical Informatics
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scholars in all areas of Buddhist Studies whose research interests would complement and augment the work of our current faculty and graduate students, and whose work promises to significantly contribute
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(but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,000 - $85,000 Postdoctoral Research Fellow - Computational Neuroscience and
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for recent MD and 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
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Date: Start date will be mutually agreed upon between program leaders and the applicant. Group or Departmental Website: https://med.stanford.edu/autismcenter.html(link is external) How to Submit
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availability, and internal equity. Pay Range: $80,826 to $90,826 per annum The epidemiology of ultrafine particles emitted from gas appliances The Stanford Electrification for Health program, based
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motivated and skilled postdoctoral researcher to lead projects related to PhacoTrainer—computer vision models for cataract surgical video recognition. Project themes will include validating PhacoTrainer