84 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Washington in United States
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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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engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big data. · At least one year of research experience in transportation
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the cross-campus Astrobiology Program , and the postdoctoral scolar would be part of this broader interdisciplinary environment. We seek a postdoc who would make the most of available collaborative
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Program , and the postdoctoral scolar would be part of this broader interdisciplinary environment. We seek a postdoc who would make the most of available collaborative opportunities. Responsibilities: Write
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The successful applicant should have a Ph.D., or foreign equivalent, by date of appointment in machine learning from computer science or related areas and be proficient in Java, C, and Python programming
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the cross-campus Astrobiology Program , and the postdoctoral scholar would be part of this broader interdisciplinary environment. We seek a postdoc who would make the most of available collaborative
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analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
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reputation in molecular vision research and is dedicated to training emerging scientists. WashU Medicine provides an excellent nurturing and collegial environment for trainees to develop a career that best
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the Department of Speech and Hearing Sciences and Institute for Learning & Brain Sciences University of Washington: Academic Personnel: College of Arts and Sciences: NATURAL SCIENCES DIVISION: Speech & Hearing
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from a range of stakeholders (e.g. NOAA, ICCAT, DFO). The PDRA will work within the Marine Ecology Research Lab, a large lab consisting of four faculty, two PDRAs, five PhD students, two Masters