37 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Washington
Sort by
Refine Your Search
-
is supporting responsible stewardship of Indigenous research data in libraries and repositories. The DSISS team of information science researchers, Indigenous scholars, and data repository
-
techniques, applying computational neuroimaging, machine learning and fluid dynamics methodologies to interpret these complex datasets. They will work closely with a dynamic team comprised of neurosurgeons
-
activities and psychological stress. Duties/Responsibilities The researchers will contribute specifically through: Gathering data, developing and implementing machine learning models, and interpreting findings
-
computational pipelines and deep learning of imaging. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications: No additional
-
repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members. Write computer codes for the above
-
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
-
, standing, walking. Working on a computer. Ability to move to on and off-campus locations. Equipment Lab and office equipment. Salary Range: Base pay is commensurate with experience. The above statements are
-
. 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
-
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
-
encouraged to apply: Biologists with mathematical, computational, or programming experience. Prior experience with mouse models, motivated to learn new techniques including advanced optical imaging