27 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at Virginia Tech
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teaching load of 2 classes per year. The position is for two years, and can be renewed for a third year pending satisfactory performance. Required Qualifications ● A PhD in Mathematics or an equivalent area
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postdoctoral associate will be responsible for developing novel techniques for designing organoids and analyzing their properties using biochemical and molecular biology techniques. The postdoctoral associate
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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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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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molecular dynamics simulations. This position emphasizes research in the modeling of complex chemical systems, where the candidate will integrate advanced simulation techniques with modern machine learning
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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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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing
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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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Construction Engineering, Civil Engineering, Mechanical Engineering, Computer Science, Robotics, or a related field. Ph.D. in relevant engineering degree. PhD must be awarded no more than four years prior
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recruiting a Postdoctoral Associate in Biochemistry and Metabolic Engineering of Volatile Natural Products. The Tholl lab integrates biochemical, molecular, and genomic tools to investigate the metabolism