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in the Southern Appalachian and Mid-Atlantic region. The position focuses on developing and applying an integrated, spatially explicit modeling framework that links forest resource utilization, life
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(ACVIM) and/or the European College of Veterinary Internal Medicine - Companion Animals (ECVIM-CA) by appointment start date. Must be eligible for a Virginia faculty veterinary license by appointment start
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Required Qualifications ● DVM or equivalent foreign degree by the date of hire ● Completion of an American College of Veterinary Emergency and Critical Care (ACVECC) or the European College of Veterinary
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Analgesia (ACVAA) or the European College of Veterinary Anesthesia and Analgesia (ECVAA) approved residency training program by the date of hire. • Must be eligible for a Virginia faculty veterinary
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Snowflake, AWS, SQL, Python, and Power BI. Why Join Virginia Tech Join a team that is building the next generation of enterprise data and analytics capabilities at one of the nation’s leading R1
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programming or data analysis skills (Python, R, MATLAB) Pay Band 3 Overtime Status Non-Exempt: Eligible for overtime Appointment Type Regular Salary Information Hours per week 30 Review Date 7/06
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experience with data analysis in R, Python, or similar language using version control ( e.g., Git) ● Experience in evaluating the economic and policy implications of agricultural monitoring techniques, ideally
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one year eligibility remaining. • Self-motivated and able to work independently and collaboratively • Strong communication skills • Proficiency in R, Python, or MATLAB • Familiarity with spatiotemporal
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to the effective date of appointment with a minimum of one year eligibility remaining. • Experience in computational data analysis and scientific programming (e.g., Python, MATLAB, or similar
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research model • Experience in molecular biology techniques • Experience in computational data analysis and scientific programming (Python, R, MATLAB) • Experience in connectome analysis • Experience in