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Field
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propulsion. Applied Materials and Electromanufacturing Advancing plasma processing science and electrified manufacturing technology. Using high performance computing, machine learning and advanced numerical
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using both synthetic and real-world data; Integrate the LLM solutions seamlessly into the Data Washing Machine for automated heterogeneous data curation; Develop HPC solutions utilizing high-performance
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understanding of Graduate Medical Education (GME) program operations. Proficiency with MedHub and Smartsheet platforms, along with a high level of systems fluency, is essential. You will be expected to exercise
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control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and neural networks (including operator learning and
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computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials, complex hydrodynamics and hydroacoustics, data
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experiments, large-scale data analysis, and computational methods to advance our understanding of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and
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population health datasets, and contribute to the mentorship of trainees. Responsibilities Collect, organize, and interpret data to inform strategic decisions Perform scientific and technical duties, including
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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telephone). Receive 2x a week individual supervision from senior staff psychologists Participate in staff meetings, trainings, and Client of Concern meetings. May provide outreach. Performs other related
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Job Posting Title: Director, Archer Fellowship Program ---- Hiring Department: Academic Affairs ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt