31 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions at Virginia Tech in United States
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Qualifications -Postdoctoral associate applicants must have a background in quantum information and hold a Ph.D. in Theoretical Physics, Theoretical Quantum Chemistry, or a closely related field. PhD must be
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the area of analytical aeroacoustics. The position is concerned primarily with the sound of unsteady vortex flows and their interactions with edges. The position requires a PhD in engineering or a
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assessment models, and statistical modeling in both frequentist and Bayesian frameworks • A solid track record of publications Appointment Type Restricted Salary Information Commensuate with experience Review
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research
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include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data
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Job Description A Postdoctoral Associate position is available within the Tengfei Li research group starting in February 2026. The position will focus on work on electrocatalysis, including
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on their research and innovation campus. Required Qualifications - PhD and/or MD in Computational Biology, Bioinformatics, Genomics, Biology, Data Science, Computer science or other related fields. PhD must be
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includes a statement of interest and fit for the position, and a list of three references with contact information. Questions about the position can be directed to Dr. Lisa Gunter at lisagunter@vt.edu
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, 2022 ( https://www.nature.com/articles/s41593-022-01109-2 ) The successful candidate will work with mice and conduct in vivo neurophysiology with molecular tools, data analysis, and modeling (using