64 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at University of Washington
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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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parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
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or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion). ? Familiarity with cloud computing and machine learning techniques
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Position Overview School / Campus / College: School of Medicine Organization: Biomedical Informatics and Medical Education Title: Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics
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Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of Prof. O’Brien
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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-of-use water filter during use. Methods are expected to use LC-MS/MS and GC-MS workflow. These methods would be applied for laboratory testing and in a pilot testing program. Job Description Primary Duties
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. The successful candidates will work with Prof. Justin Little in the Space Propulsion and Advanced Concepts Engineering (SPACE) Lab. We are looking for candidates interested in exploring at least one of the
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical