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from measurement campaigns in 2024 at the LEO; these data include water vapor and CO2 flux measurements using LiCOR, thermal infrared images at locations of these LiCOR measurements, and nearby shallow
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extraction and microbiome processing, library preparation for next-generation sequencing (NGS), and optimization of protocols for a variety of samples, including non-invasively collected samples. Conduct high
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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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Postdoctoral Research Associates. The ideal candidates will possess a doctoral degree (PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1
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health workplace wellness programs nationally. This project is led by Patricia Haynes, PhD, CBSM, DBSM, at the University of Arizona and provides mentored training in implementation science, stakeholder
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. Leading analysis of multispectral and hyperspectral data at the field, drone, and satellite scale. Big data analysis including processing and analyzing EMIT hyperspectral datacubes over large spatial
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Doctorate (PhD, MD or MD/PhD) in immunology or area directly related to field of research specialization. Up to 3 years of relevant post-doctoral experience. Preferred Qualifications Outstanding publication
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to perform experimental protocols and procedures, including detailed data collection and analysis. Minimum Qualifications Doctorate (PhD, MD or MD/PhD) in immunology or area directly related to field
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, treatment application, disease rating, collect and process research samples and data according to written protocols; perform data entry and analysis; assist in report preparation and presentation of results
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Focus: The research will explore novel mathematical and algorithmic approaches for fusing multimodal data, including but not limited to: Genotypic and phenotypic data, imaging, spectral, and LIDAR data