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, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Posting Information Posting Details Department Neurology - 411801 Posting Open Date 05/16/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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weather instrumentation data analysis (lidar, radar, weather station, radiometer, sonde, cameras) Experience with mining and cleaning “big” observational data and/or online databases Experience with
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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are encouraged to apply. Required Qualifications PhD degree in Electrical Engineering or closely related fields. The applicant must have working knowledge of microwave engineering, antennas, noise, heat radiation
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analysis, immune profiling; Bioinformatic analysis: Python, R, data-mining, et al. Physical Demands Salary Range $47,500 - $61,008 Additional Salary Information The salary range reflects our good faith and
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Post-Doctoral Position in biomedical data mining - (200000K1) The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate
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required. Required Qualifications: Expertise in one or more of the following areas to solve problems in computational epidemiology as they relate to HAIs: AI, algorithms, discrete optimization, data mining
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PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm, magnetic resonance
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. Qualifications a. Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining