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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record
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Orientation for Post-Doctoral Fellows | University of Colorado (cu.edu) benefits guide cover-post-doc-2024 (cu.edu) Qualifications: Minimum Qualifications: · PhD in relevant scientific area such as
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. Experience in using containerization software such as Docker. Principal Professional Master’s or PhD degree in computer science, data science, biomedical engineering, imaging or related discipline such as
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simulator. The department has a fully integrated Eclipse treatment planning system, ARIA, and EPIC and uses an electronic charting system for all clinics. The ideal candidate should hold a PhD in medical
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Qualifications: · PhD in relevant scientific area such as Biochemistry, Cell Biology, Molecular Biology, Physiology, Biophysics or Reproductive Biology Applicants must meet minimum qualifications
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molecular biological experiments · Perform microscopy-based imaging techniques to study membrane and vesicle trafficking · Carry out DNA, RNA harvesting for single-cell sequencing and analysis
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to know your total compensation? Use our calculator to get the complete picture! Summary The Department of Electrical and Computer Engineering (ECE) at the University of Colorado Colorado Springs (UCCS
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/imaging scientists, programmers, and biomedical engineers) to integrate developed algorithms into software for the larger research community as well as into the clinical workflow for prospective validation
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treatment planning, outcome prediction using image processing (radiomics, anatomy changes, et.), large language models to aid in clinical diagnosis and treatment management, and AI applications to advance