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extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP). This project leverages the large-scale high-performance computing (HPC
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well as non-Markovian approaches. The Grima group develops the mathematical and computational theory of stochastic gene expression, combining exact and approximate solutions of stochastic models with noise
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data beyond the application of established pipelines OR experience developing mathematical or statistical models of biological systems. ● A record of publishing computational biology (broadly defined
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computational approaches — from coarse-grained elastic network models (ANM/GNM) to atomistic and enhanced-sampling molecular dynamics and machine learning/AI methods — to understand how biomolecules achieve
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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the Principal Investigator, Xiaoji Xu , in the Department of Chemistry, contributing to an active research program in combining ultrafast two-dimensional spectroscopy with AFM, as well as the development
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atmospheric science or a related field. Experience with numerical modeling. Knowledge of atmospheric dynamics and precipitation process. Brief Description of Duties: The Postdoctoral Associate will conduct
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atmospheric science or a related field. Experience with numerical modeling. Knowledge of atmospheric dynamics and precipitation process. Brief Description of Duties: The Postdoctoral Associate will conduct
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. ● Experience with mouse models. ● Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary
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. ● Experience with mouse models. ● Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary