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the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation
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for an hourly Research Assistant. Research in Radiology advances medical imaging technologies and therapies that range from modeling and image processing algorithms to new clinical applications. Learn more about
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plays a pivotal role in enabling leading-edge research and development in microelectronics, sensors, materials, micro optics, and nanotechnology. The successful candidate will demonstrate technical depth
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the position description. Preferences The ideal candidate will have experience with wearable sensors and/or remote monitoring approaches and strong programming (e.g., R, Python, or similar) and writing skills
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on understanding the mechanisms of protein synthesis and translational control in health and disease. The primary focus of the lab is to elucidate how ribosomes act as sensors of cellular stress and to discover the
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, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments
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, including classification, regression, clustering, and deep learning algorithms. • Statistical Software: Proficiency in statistical software such as SAS, Stata, R or Python, including relevant packages
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of a command line interface in Windows, Linux, or Mac experience in electrical experience with deployment of sensors Special Instructions Summary Additional Information The University is a participating
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system/geographical information system, on-body sensors/accelerometry, surveys, and text messaging. The Center for HOPE has maintained National Institutes of Health, Patient-Centered Outcomes Research
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, and firewalls Managing environmental sensors Managing in-rack power distribution units Minimum Qualifications Required Qualifications: Familiarity with electrical systems, connections, etc. Familiarity