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Professional Master’s degree or PhD degree in computer science, data science, biomedical engineering, imaging or related discipline such as mathematics, engineering or physics Proven track record of publications
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organoid platform. Experience with cell-based workflows, imaging, or clinical sample–derived cultures. Applicants must meet minimum qualifications at the time of hire. Preferred Qualifications: PhD in
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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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. The Research Instructor will work on exciting projects related to cellular mRNA surveillance using imaging, genome engineering, and high-throughput sequencing. The ideal candidate will have a doctoral degree in
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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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responsibility for sample flow from procurement to processing, assay execution, screening operations, and data transfer. The position will support projects focused on NF1-associated tumors and neurofibromas, while
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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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Open Rank - Assistant, Associate, Professor. Lead Scientist in Psychiatric Neuromodulation Research.
, biomedical engineering, and data science, as well as access to world-class imaging, electrophysiology, and computational resources. Joining CU Anschutz means becoming part of a forward-looking