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distribution. Both projects will develop the Fontan emulator to be patient-specific, MRI compatible, computer controlled, and quantitatively evaluated using advanced bench-top, CFD/FSI simulation, and MRI-based
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of computational methods into clinically interpretable tools for bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer
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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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outcomes for children with IBD. The successful candidate must hold a PhD, PharmD or MD/DO with a focus on pharmacometrics or computational biology/bioinformatics focused on -omics with an interest in
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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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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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of scientific principles. Strong molecular and cell biology techniques, as well as experience working with mouse and human models. Strong general computer skills, experience with databases and scientific
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ability to quickly learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Bioinformatics
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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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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