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detection and image-guided surgery for pancreatic ductal adenocarcinoma (PDAC). Our laboratory develops biocompatible, near-infrared (NIR) chemiluminescent chitosan-based nanoparticles (CNPs). By combining
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related to developing and applying contrast-enhanced ultrasound approaches, and image processing to study remodeling of the islet microvasculature and islet blood flow regulation in type1 diabetes and to
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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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Responsibilities : Conduct pharmacometrics, PK/PD modeling, and drug exposure-response studies Perform advanced imaging (phase contrast, fluorescence, SEM, TEM) and flow cytometry Execute molecular biology
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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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/PD modeling, and drug exposure-response studies Perform advanced imaging (phase contrast, fluorescence, SEM, TEM) and flow cytometry Execute molecular biology techniques including DNA/RNA extraction
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understanding/knowledge of antiviral/antitumor signaling (e.g., cGAS-STING) · Prior experience with adipocyte culture · Prior experience with advanced cellular imaging techniques, including live
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Recent publications from the Shellman Lab can be found here: https://pubmed.ncbi.nlm.nih.gov/?term=shellman+y&sort=pubdate&size=50 Examples of key Responsibilities: · Conduct tissue culture and
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to extracellular matrix, macrophages · Prior experience with: o Advanced cellular imaging techniques, including live-cell imaging o Coding/bioinformatics analyses o 3D and/or organoid models o
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Nephrology. Please explore our website to learn more about our state-of-the-art clinical, educational and research programs, and distinguished faculty members. (https://medschool.cuanschutz.edu/renal ) Dr