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on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Physical Requirements*: Frequently stand
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Houston Methodist Biomedical Ethics Program are seeking applicants for our full-time clinical ethics fellowship. This competitive, 2-year program offers the opportunity to train with the Center’s nationally
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relevant to high-field and high-temperature dielectric performance to inform the digital discovery of new polymers. Characterize materials, interfaces, and film morphology using microscopy and materials
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that houses advanced 3T human and 9.4T preclinical MRI scanners, both equipped with ultra-high-performance gradient systems. MINIMUM REQUIREMENTS Education: Applicants must hold a doctoral degree, preferably a
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: 2024363 Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances
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–property–processing relationships relevant to high-field and high-temperature dielectric performance to inform the digital discovery of new polymers. Characterize materials, interfaces, and film morphology
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: 2024356 Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances
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to set up and perform routine and established lab procedures in support of lab goals including mouse colony upkeep, to collect, enter, and summarize data, and to monitor results and report unusual outcomes
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simulations, virtual screening, quantitative structure activity relationship modeling, and chemical informatics. The applicant must also be comfortable using high performance computing resources; and developing
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automation methodologies and software infrastructure for next-generation computing systems, including neuromorphic and emerging hardware platforms. The position involves designing high-performance algorithms