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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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molecular biology researcher with expertise in biomedical research and in the operation and support of state-of-the-art single-cell and spatial transcriptomics and metabolomics instrumentation and assays
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supervising studies that involve in vitro assays and in vivo mouse tumor models to understand mechanisms of immunotherapy resistance, exploration of pathways involved in signal transduction in different T cell
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powder bed fusion and directed energy deposition, and hybrid processes. Additionally, the successful candidate will assist with overall daily management of the Nebraska Engineering Additive Technologies
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Position Information Position Information Working Title Research Assistant Professor Department Electrical & Computer Engineering-1063 Requisition Number F_240064 Posting Open Date 08/19/2024
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will be held January 10th and January 31st. Please identify a preferred interview date in the letter of intent. If there is no preference, please indicate that too. We will be flexible with your schedule
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. in a relevant discipline at the time the appointment begins. Relevant disciplines include computer science, computer engineering, electrical engineering, mechanical engineering, or a closely related
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, the Horn Point Laboratory in Cambridge, the Institute of Marine and Environmental Technology in Baltimore, and the Maryland Sea Grant College in College Park. www.umces.edu The UMCES Institute of Marine and
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experience in Image Processing and Signal Processing or the use of Image Processing Output to assess disease phenotypes and epidemiological relationships. Proficiency in a statistical analysis environment