36 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Duke University
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international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest rising, highly ranked engineering schools in the nation. The school consists of four
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Therapy (T), Nuclear Medicine Technology (N), CNMT, ARDMS, or registry eligible for Magne tic Resonance (MR).ARRT or ARMRIT registered in Magnetic Resonance (MR) required within 18months of employment, BLS
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muscle biology, immunology, CAR T-cell engineering, fibrosis, or single-cell genomics is highly desirable This position is Onsite. The work is performed on-site or at a designated assignment location. Be
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-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
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Medicine Technology (N), CNMT. BLS certification required. Pre-requisite Coursework- Acceptance into an MRI Program. Knowledge, Skills, and Abilities: Demonstrated ability to perform imaging procedures under
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therapy, with a particular emphasis on epigenetic regulation, radiation response, and treatment resistance. Our work leverages patient-derived organoids, engineered cellular models, functional genomics, and
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, or translational oncology. Experience with flow cytometry, immune co-culture assays, drug-response assays, engineered cell models, organoids, patient-derived models, or animal models. Familiarity with antigen
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-derived brain and cardiac organoids. Successful candidates will have the opportunity to work in a collaborative and interdisciplinary environment that combines genomics technology development, stem cell and
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Medicine Technology (N), CNMT. BLS certification required. Pre-requisite Coursework- Acceptance into an MRI Program. Knowledge, Skills, and Abilities: Demonstrated ability to perform imaging procedures under
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, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field Demonstrate strong computational and