27 phd-mathematical-modelling-population-modelling 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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-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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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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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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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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Department at #2 nationally in the Electrical and Electronic Engineering category. Required Qualifications • PhD degree in Electrical Engineering, Computer Engineering, or other related disciplines. PhD must
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software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch rate standardization, stock
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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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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