113 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at University of Washington in United States
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: PhD in biology, physiology, biomedical engineering, or a related field. Demonstrated skill in handling mouse and rat pups, small animal procedures, and in vivo imaging. Familiarity with cardiac
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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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protein techniques. Experience with mouse handling and colony management. Experience with molecular biology techniques. Preferred Qualifications Education: No additional education beyond what is stated in
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. - Biomedical Engineering, PhD or terminal degree or combination of education and experience may substitute for minimum education. - Neuroscience, PhD or terminal degree or combination of education and experience
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Biology Title: Postdoctoral Position in Quantitative Cell Biology in the MATSU lab Position Details Position
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Position Overview School / Campus / College: School of Medicine Organization: Psychiatry and Behavioral Sciences Title: Postdoctoral Scholar | SPIRIT Center - Psychosis Treatment and Recovery
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for these polymers and implement computational algorithms to assist their optimization. The RISE Polymer Lab is dedicated to developing the next generation of robust, intelligent, sustainable, and evolving (RISE
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cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis, and biophysical modeling. • Experiment
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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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industrial engineering, systems engineering, computer science, electrical engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big