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(audio and/or vision) data. The postdoc will be mentored by Monica Ellwood-Lowe (Graduate School of Education), Meg Cychosz (Linguistics), and Dan Jurafsky (Linguistics and Computer Science). They will
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biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and scientific publishing. Required Qualifications: 1. A doctoral degree (PhD, MD
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institutional strategy, ESD priorities, and DOE Office of Science objectives. As the primary point of contact to DOE Basic Energy Sciences (BES) Chemical Sciences, Geosciences, and Biosciences (CSGB) program(s
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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
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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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Medicine are seeking to appoint a Postdoctoral Research Fellow to join a project developing and validating deep learning computer vision models to classify mosquito breeding habitat on very high-resolution
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coordinators, professional web developers, and school partnership coordinators. This position is ideal for someone with exceptional technical skills who thrives in a collaborative team environment. ROAR Vision
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demonstrated ability to design, train, and deploy large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment
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to continue for a second year; any reappointment is contingent on satisfactory progress, program need, continued funding, and Stanford University approval. The appointment includes eligible medical, dental