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-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following
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technology transfer program involving industry, state, and private forest-tree bareroot and container seedling nurseries. Engage actively in research, collection and statistical analysis of data, development
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technology transfer program involving industry, state, and private forest-tree bareroot and container seedling nurseries. Engage actively in research, collection and statistical analysis of data, development
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against inflammatory and immune mediated diseases, under Group Leader, Maria C. Naskou DVM, PhD, Dipl. ACVP. The Naskou group is located at Scott Ritchey Research Center in the College of Veterinary
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linked diseases at the molecular, cellular, and whole animal levels. The successful candidate will work in close collaboration with the laboratory of Elizabeth Lipke, PhD in the Department of Chemical
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research grants and projects in the College. We are seeking applications from individuals with either: (1) a PhD in any area of the biomedical sciences or (2) a DVM or its equivalent at the time employment
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by Dr. Brian Freidin Analysis of Partial Differential Equations and Spectral Theory – Advised by Dr. Selim Sukhtaiev Minimum Qualifications Applicants must have earned a PhD or equivalent degree in
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the forest products / wood composites industry (before or after PhD). Experience mentoring students in the laboratory. Demonstrated commercial experience such as product development, patents, commercialization
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program focused on detection dogs. In this role, you will analyze unprecedented behavioral genomic data, including whole-genome PacBio Revio HiFi sequencing data from over 200 dogs in a multi-generation
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the development of new case studies that provide a vision for new opportunities in the forestry industry in Alabama and the rural South. Minimum Qualifications Applicants must possess a PhD in forestry at time of