121 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Stanford University
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. The FY25 minimum is $76,383. The Water & Energy Efficiency for the Environment Lab (WE3Lab) seeks 1-2 Postdoctoral Scholars with a vision for the coordinated operation of water systems and electricity grids
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. The FY25 minimum is $76,383. We have an opening for a full-time postdoctoral fellow in the laboratory of Wendy Liu, MD, PhD in the Department of Ophthalmology at Stanford University to conduct collaborative
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success and publication history, with an MD, PhD or MD/PhD degrees, and very strong references. We are seeking a candidate with expertise in immunology. Previous experience in cancer research, molecular
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or the interest in learning programming is highly desirable. A successful candidate will interact closely with computational biologists and be responsible for designing and executing experiments that will, in part
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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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nationally and federally funded, interdisciplinary research program focused on improving healthcare delivery by understanding and intervening in the human systems behind it. Based in the HEAL and Kim Labs
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your experiences with diversity, equity, inclusion and access in research, teaching, and/or service, and your potential to advance Stanford’s ‘IDEAL’ vision of diversity (link is external) as a
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postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford
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not required as part of this position. Required Qualifications: Strong mathematical background, including expertise in one or more of the following areas: machine learning, statistics, and algorithms
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and other machine learning models (especially neural network models, time-series models) and coding in python and R. Strong collaborative skills and ability to work well in a complex, multidisciplinary