25 phd-mathematical-modelling-population-modelling Postdoctoral positions at Virginia Tech
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and publications. Required Qualifications • PhD in Mathematics, Engineering, or a related field with a background in statistical and mathematical modeling. PhD must be awarded no more than four years
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and data-driven modeling approaches to understand mechanisms that drive stress contagion. In addition to teaching two lower-division mathematics classes per year, the postdoc will also be responsible
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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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and publications. Required Qualifications - PhD in Mathematics or a related field with a background in statistical and mathematical modeling. - Research in mathematical applications to biological
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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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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also be responsible for preparing and utilizing chemical solutions in in-vitro experiments in a wet lab setting, maintain colonies of mouse models of human disease through husbandry and genotyping
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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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spatiotemporal analytical approaches and software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch
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Responsibilities: Performing advanced analyses and modeling of neuroimaging and behavioral data. Preparing manuscripts for publication. Overseeing neuroimaging data. Collaborating on the development and execution