20 computer-science-image-processing Postdoctoral research jobs at University of Washington
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imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response to therapy. The position is
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. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
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Qualifications section. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG), Experimentation, Genome-Wide Association
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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successful candidate will have a strong background in Earth science, signal processing, and computational data analysis; demonstrated written and verbal communication skills; and the ability to work both
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growth analysis (imaging and OD analysis, HPLC metabolite measurement). Microbial population analysis (16sRNA). Chemistry analysis (N, P, metals). Statistical modeling. Use of large language model
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for radiopharmaceutical and particle therapy research with GMP-grade therapeutic product development facilities. Extensive shared resources for genomics, proteomics, metabolomics, imaging, and computational biology. A rich
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Programming, Data Analysis, Data Interpretations, Experimentation, Imaging Analysis, Laboratory Operations, Laboratory Techniques, Magnetic Resonance Imaging (MRI), MATLAB, MRI Analysis, Multiple Sclerosis
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at the University of Washington (APL-UW) invites applications for a postdoctoral researcher to be deeply embedded in a research group that utilizes advanced ultrasound methods for both cardiovascular imaging as
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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