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ddRADseq, whole genome sequencing, targeted sequence capture, and other emerging genomic technologies. The successful candidate will participate in all aspects of the research program, including experimental
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disorders. We will establish a program for deeply characterizing the biology and information processing changes of affected individuals and their response to different treatments. Research Techniques will
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publications, writing grant proposals, attending national conferences, mentoring students, academic exchange inside VT and with national institutions from the field. Required Qualifications Ph.D. in Earth
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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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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). • Demonstrated
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• Experience in molecular biology techniques • Experience in computational data analysis and scientific programming (Python, R, MATLAB) • Experience in connectome analysis • Experience in molecular dynamics
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) and the College of Natural Resources and Environment (CNRE)/Department of Geography. While the primary focus is to conduct and disseminate high-impact interdisciplinary research, the position is also
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to explore opportunities for and develop a medium-term plan for using artificial intelligence tools to support research administration, strategy, and development. The candidate will work with stakeholders
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Job Description The Gregus/Buczynski Lab is seeking a motivated postdoctoral fellow to join an extramurally funded, highly collaborative research program focused on developing new, mechanistically
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characterization. The successful candidate will contribute to an externally funded research program focused on understanding structure-performance relationships in molybdenum-based zeolite catalysts for methane