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, or Biophysics, with strong quantitative and analytical skills and proficiency in MATLAB and/or Python. Experience with preclinical MRI/fMRI/MRS, rodent models, image processing, functional connectivity, and
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cleaning, standardization, and quality assurance activities to support reproducible research. Image Processing & Annotation Preprocess ophthalmic images for machine learning applications through resizing
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CT imaging CT reconstruction and image-processing methods Material decomposition and quantitative spectral imaging Image segmentation, registration, and quantitative morphometry Machine learning and
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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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photoluminescence imaging (HMSPL) to detect and study previously unrecognized anatomical and chemical contrasts that enable better identification of the whole or partial specimens analyzed. - Data processing and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Post-Doc Research Associate Vacancy ID PDS004974 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range $47,476
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imaging modality. Preferred Qualifications: Work Experience: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker
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/Absorption Spectroscopy preferred). Demonstrated experience with high-speed imaging, data acquisition, and complex optical alignment using lasers and advanced detectors. Experience processing dense
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). The RAs will help us to improve an existing Python code base for creating 3D models of ancient artifacts from large datasets of 2D images. The main qualifications are prior experience working on large