46 digital-image-processing-phd-scholarship Fellowship positions at University of Michigan
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in the position and outline skills and experience that directly relate to this position. Job Summary The Digital Scholarship Specialist partners with students, faculty, staff, and librarians to enhance
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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patients with autoimmune disease. This research involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including
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, signal processing and image processing in medicine with an extensive level of access to large clinical datasets. Research in the Weil Institute focuses on the development, validation and maintenance
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/reloading models for studying musculoskeletal adaptation Experience in mouse dissections and surgery Prior work in animal/tissue imaging, including microcomputed tomography analysis, as well as histological
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blot, immunofluorescence) Cell transfection Mechanical testing and biomaterials characterization Quantitative image analysis Computational skills including data processing and statistical analysis Prior
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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) PhD graduate who is interested in strengthening their experimental, analytical, and publishing skills before transitioning to independence within academia or bio-pharma industry. Transferring
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send materials to ukarvind@umich.edu with Subject "SIBL Bioinformatics Postdoc". Job Summary The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine and