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component analysis for information processing, 2) physics based generative models for end-to-end imaging, and 3) multi-modal/multi-sensor/multi-band super resolution data generation and fusion. Foster
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working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Develop novel ML / AI models and techniques for analysis of longitudinal time series data
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key role in project management, data analysis, and manuscript preparation. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU
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the research through dissemination of results: presentations. Development of extramural funding opportunity proposals. Basic competence in statistical analysis software. Participate in trainings with T32 Post
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for publications, presentations, and grant proposals. Perform statistical and graphical analysis of data. Review literature on an ongoing basis to remain current with new procedures and discoveries and apply
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a team. Ability to meet deadlines and manage multiple projects. Data analysis, organization, and problem-solving skills. Minimum Qualifications MD or PhD in Public Health, Epidemiology, Biostatistics
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and computational analysis, evaluate the data, and keep appropriate records of all research activities. Read the literature, participate in scientific discussions with other members of the lab, and
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algorithms, their theoretical analysis and verification. This is a year-to-year appointment, contingent upon funding and performance. Outstanding UA benefits include health, dental, vision, and life insurance
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chamber development, and (3) field studies in mining environments. Perform advanced sample analysis, validate measurements, and document findings. Process and analyze research data to generate meaningful
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characterization, (2) environmental chamber development, and (3) field studies in mining environments. Perform advanced sample analysis, validate measurements, and document findings. Process and analyze research