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presentations. - Possess a solid background in addiction or health behaviors research and/or behavioral economics. Preferred Qualifications - Experience with behavior analysis and/or addiction research
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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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remaining. ● Strong background in the development and/or application of numerical methods for partial differential equations. ● Experience in implementation of numerical methods. ● Interest and experience in
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, with opportunities to publish, contribute to proposals, and gain experience in laboratory and project management. For more information, please visit: https://nmfc.me.vt.edu/. Required Qualifications
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. Preferred Qualifications • Experience with deep learning architectures applied to geophysical or environmental data. • Familiarity with physics-informed machine learning or hybrid modeling approaches
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opportunities for scientific growth. The group has significant experience transitioning lab members to academic and industrial positions. Interested candidates should send their resume, statement of research
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, optimization and machine learning. • Ability to pursue independent research and demonstrated capability of mentoring students. • Strong background and experience in network optimization and evaluation especially
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publications • Experience and background in managing multiple projects simultaneously • Excellent communication skills Preferred Qualifications • Experience with induced primary, cancer and pluripotent stem
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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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must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Experience with in vivo research involving mouse - Proficiency in