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Field
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, use of microscopes, data acquisition, inverse problems in imaging, optimization methods and image estimation and in particular knowledge in methods for super resolution structured illumination
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Knowledge of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of significant developments and trends in the field SKILLS Outstanding
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proactive approach towards problem solving Knowledge of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of significant developments and
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) evaluating novel therapeutic strategies to prevent fibrotic formation in trabecular meshwork and (3) evaluating peptide and viral gene therapy methods in preventing retinal ganglion cell death in glaucoma
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of Information & Computer Sciences About UMass Amherst The flagship of the Commonwealth, the University of Massachusetts Amherst is a nationally ranked public land-grant research university that seeks to expand
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Position overview Position title: Postdoctoral Scholar Salary range: See Table 23 for the salary range for this position. A reasonable estimate for this position is $69,073 - $82,836. Percent time
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. By combining methods from human-computer interaction, clinical informatics, and artificial intelligence, we aim to create systems that enhance reasoning, surface relevant information at the bedside
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
over time. This, key skills include familiarity with data management or large multi-method data sets and excellent data-analytic skills, especially those relevant to complex, large longitudinal studies
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advanced microscopy techniques and related methods. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science