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Field
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. • Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization, and a high level of independence with a publication record to support these
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Wayne State University is searching for an experienced Post Doctoral Fellow - Department of Ophthalmology, Visual and Anatomical Sciences (OVAS) at its Detroit campus location. Wayne State is a
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, or related national security mission areas. Experience translating model output into decision-relevant products for analysts, sponsors, or policy audiences, including interactive visualization or exploratory
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medical imaging, clinicians currently lack a method for directly visualizing the microscopic anatomy and function of the living human cochlea. MRI and CT remain the clinical standards but lack the spatial
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Responsibilities: Collect soil and plant samples from the field Analyze soil and plant samples in the laboratory Collect data from the literature Analyze and visualize data using advanced statistical approaches
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appropriate, development of reproducible computational workflows for processing and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and
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, & Project Coordination (20%) ● Collaborate with MAISRC staff (Quantitative Ecologist and Outreach Specialist) to test and refine visualization layers within the web-based AIS Explorer tool. ● Lead and co
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. Research and technology transfer experience in 3D reconstruction, localization, and map building from colonoscopy video sequences. Responsibilities: Research and implementation of visual SLAM (VSLAM) systems
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hospitals, independent laboratories, and other health care organizations. Our operations are based at the University of Washington Medical Center, Harborview Medical Center, South Lake Union, Northwest
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization