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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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. Develop, maintain, and improve our shared infrastructure for designing, training, fine-tuning, and prompting and analyzing large AI models. Professional Development Learn the underlying science, mathematics
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technologies and their applications, including financial and policy implications within a large organizational setting Expert knowledge of financial modeling and data analytics Expert knowledge of financial
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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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Python, PHP, and Javascript) to support the extraction and transformation of collections data to other platforms including the Museum website Write scripts to manipulate and import large data sets into TMS
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of the Program Steering Committee comprised of senior functional, IT, and data leaders. The Program Steering Committee will be governed by the cabinet level Executive Steering Committee for critical
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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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solve problems and formulate/implement process improvements. Excellent information and data gathering skills. Ability to act as advocate for faculty, proactively investigating and navigating University