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big data, and include both quantitative modeling and qualitative approaches. The research group manager will report directly to the lab director, Professor Weber, and work closely with research group
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effective manner. Engages in research and reviews pre- and post-questionnaires as well as other assessment data for ongoing quality improvement. Reflects upon clinical cases, identifies trends in misbehavior
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, cloud-radiation interactions, and double-moment microphysics, and their impacts on weather systems; 3) data assimilation (DA) and ensemble forecast, e.g. representing model uncertainty, mitigating
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-state ionics, materials characterization and/or electrochemical engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences
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maturity and ability to handle sensitive information, high-profile staff and visitors, and special events with the utmost level of confidentiality and professionalism. This position will be fully onsite in
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activities such as working with large public datasets, designing and implementing relevant experiments writing manuscripts, presenting research, and mentoring undergraduate and graduate researchers in
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
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approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to develop new AI/ML approaches for anti-doping, with a focus on
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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ways with extremely large data sets - Understand how to address software engineering questions that arise in research planning - Learn to communicate complex software engineering concepts with small