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interdisciplinary environment where world-class researchers with expertise in computing and software, biochemistry, genome sciences, biological structure, pharmacology, immunology and other basic science disciplines
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About This Job Preferred Qualifications: Ph.D. in Electrical Engineering, Physics, Applied Physics, Biomedical Engineering, Computer Engineering, or related fields. Experience with Silicon photonics
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computational pipelines and deep learning of imaging. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications: No additional
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-May-25 Location: Seattle, Washington Type: Full Time Categories: Academic/Faculty Internal Number: 161934 Position Description The Urbanization and Health Lab at the University of Washington invites applications...
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program employs several methods to study driving including a standardized road test, self-report driving habits, and naturalistic driving behavior using the Driving Real-world In-Vehicle Evaluation System
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are looking for a postdoctoral researcher with physics or engineering expertise who will design and operate a 3D super-resolution ultrasound system, write control software, build computational imaging pipelines
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. Department of Labor prevailing wage determination. Qualifications Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field. Instructions Applicants should submit a
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Position Summary The Marti Lab builds next-generation imaging tools and AI methods to track how health, aging, and disease unfold deep inside living organisms, over weeks to lifetimes. Job Description Primary Duties & Responsibilities: For more information on the lab please visit...
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Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome Sequencing
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techniques, applying computational neuroimaging, machine learning and fluid dynamics methodologies to interpret these complex datasets. They will work closely with a dynamic team comprised of neurosurgeons