36 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Virginia Tech
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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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, fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures
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talks to professional audiences. Required Qualifications - Ph.D. in mathematics or a related discipline at the time of appointment. PhD must be awarded no more than four years prior to the effective date
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• Ph.D. in Nuclear Engineering, Mechanical Engineering, Materials Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one
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. Experience with both experimental and computational approaches is desirable, as is proficiency in widely-used microbiological methods. The Aylward lab is a vibrant and dynamic work environment that welcomes
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and Episodic Future Thinking as an intervention for tobacco use disorder in military veterans. Postdoctoral Associate responsibilities will also focus on the use of the International Quit & Recovery
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collaboration. Required Qualifications - Ph.D. in Forest Products, Forestry, Natural Resources, Sustainability, or a related field. PhD must be awarded no more than four years prior to the effective date
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year. The individual will also be responsible for writing documents, including grant reports and publications. Required Qualifications • PhD in Mathematics or a related field with a background in
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, materials, virology, computational biology, science communication, community engagement, and ethics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below