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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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. Successful candidates will be involved with observational data analysis, numerical modeling of natural hazards, and outreach to local stakeholders. Candidates will present research findings through
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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Psychology
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innovative simulation experiences that enhance learning, assessment, and clinical training. Essential duties and responsibilities include the following: Design, develop, and maintain full-stack Al -powered web
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proficiently. Hearing is essential. The ability to focus on the task at hand despite numerous interruptions. Must be able to sit for extended periods of time and document into an electronic medical record
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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, R, Mplus, or similar; skills in PROCESS, SEM (and CFA)—specifically multigroup modeling and invariance testing. Writing proficiency. IRB protocol and submission process Preferred Qualifications PhD in
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) faculty; operational recruitment, retention, and day‑to‑day quality control are managed by the Division of Simulation and Clinical Learning (DSCL). Administrative Leadership: Monitors certification pass
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to the department’s educational mission through lectures, conferences, simulation activities, and other didactic teaching opportunities as appropriate. Academic and Departmental Contributions Participate in