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in many aspects of the LZ experiment, from detector calibration, simulations to data analysis. The successful candidate will play an active role in analyzing LZ data, with opportunities to improve
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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approaches. Design and execute experiments, analyze data, and communicate findings at internal and external meetings and conferences. Publish research findings in high-impact, peer-reviewed scientific journals
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practices related to specific field. Excellent leadership, communication, problem solving and project management skills. Ability to use various computer software programs. Researcher III Relevant PhD
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recombinant approaches to define mutations impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 9 hours ago
products. CDRH provides consumers, patients, caregivers, and providers with understandable and accessible science-based information about products. CDRH facilitates medical device innovation by advancing
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Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | about 9 hours ago
. Additionally, you will participate in data evaluation and documentation, collaborating with their mentor on publications, presentations, or reports to learn effective communication of regulatory science to both
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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governance, and environmental philanthropy Lead in-depth case studies of community-led conservation in Indonesia, including data collection and analysis as well as extensive fieldwork Coordinate and contribute
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scalability studies to identify and improve bottlenecks in large codes. Experience in development of data-driven reduced-order models in one or more of these areas: turbulence, boundary layer flows, combustion