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of War project entitled, Evaluation and validation of vegetation, fuel, and fire behavior tools and technology in hardwood-dominated forest ecosystems of Virginia and the eastern United States. The
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degree in computer science or another science or engineering discipline; or Master’s degree in higher education, academic advising or related field. Strong communication and personal skills. Experience
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Qualifications Bachelor's in science or engineering or related study or equivalent training, experience; Ability to lift up to 30 lbs. and perform strenuous work under adverse environmental conditions
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of grant proposals. Required Qualifications • PhD in Neuroscience, Biomedical Engineering, Psychology, or a closely related quantitative field. PhD must be awarded no more than four years prior
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biology / bioinformatics / genomics, or 2. Computer Aided Engineering (CAE) for mechanical/aerospace applications (finite element analysis, finite difference methods, Lattice Boltzmann methods, or other
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collaboration. Preferred Qualifications Degree in Biology, Animal Science, Dairy Science, Veterinary Technology, or related area. Experience in shelter medicine and/or high-quality, high-volume spay/neuter
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technologies: ForceDecks, NordBord, ForceFrame - Data visualization tools: Tableau, Power BI - Data analysis & coding tools: R, Python - Machine Learning: Predictive modeling, feature engineering, model
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field related to data analysis, information technology, instructional technology, natural resources, or a related discipline; or equivalent level of training and experience; • Demonstrated ability
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Qualifications Bachelor’s degree in Biology, Animal Science, Veterinary Technology, or a closely related field, or an equivalent combination of education, training, and relevant experience. Experience with
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Job Description Supports the Food Science and Technology Departments research microbiology laboratories. Supervise lab spaces and assist faculty, graduate and undergraduate researchers. Primarily