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hormone signaling pathways and stress responses Experience with greenhouse experiments Strong background in statistical analysis and data integration Experience with woody perennial plant systems Effective
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models using software such as GAMS and Python. Econometric modeling skills using statistical software (e.g., Limdep, Stata, EViews or R). Strong programming skills with R and Python. Excellent oral and
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of enhanced binding and selectivity manifested in improved separations. Development and evaluation of statistical and machine learning tools for studying molten salts using the leadership class high performance
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(GNNs), Transformers, and the PyTorch ecosystem. Knowledge of deep learning theory, statistical modeling (e.g., decision trees, hidden Markov models, Kalman filters), and the ability to model partially
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industrial processes, building science, heating and cooling technologies, and mechanical systems and controls. Familiarity with numerical calculation and statistical data analysis techniques. Strong oral and