96 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Washington
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Position Summary Plant defense is not a static biological process – it is influenced by dynamic factors such as ontogeny, morphogenesis, tissue type, and the circadian clock. Our research program
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. Candidates must be comfortable practicing and/or learning high-performance computing for large-scale observational seismology on local and cloud UNIX environments. Desirable additional areas of expertise
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. The postdoctoral researcher will take a lead role in designing and conducting experiments to assess how people with spinal cord injury learn to control their legs in a novel body-machine interface using wearable
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. Experience with high-throughput molecular biology assays. Experience with complex functional experiments. Background in machine learning, AI, or data integration for genomic datasets. Familiarity with gene
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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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and raw data (3%). c. Prepare materials for IRB as well as progress reports (3%). d. Perform related duties as needed (1%). Qualifications Requirement 1. PhD in Speech and Hearing Science
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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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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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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