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will involve applying multiple time-dependent electronic structure and nonadiabatic dynamic methods to model the CISS effect in molecular systems. Method development, potentially in the realm of time
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and engineering, or related field, and experience in the thermometry and modeling. Must have strong written and verbal communication skills. Preferred qualifications Highly motivated individual who has
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, computer science, electrical engineering or physics. Preferred qualifications A deep understanding of statistical modeling, inference, and compressed sensing. Experience deriving biological insights from large
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related fields. Additional qualifications Experience with both numerical modeling and laboratory approaches related to soil biogeochemistry is desirable but not required. Application Requirements Document
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in Agriculture • Machine learning models for pest and disease prediction • Crop classification using multispectral imagery • Digital twin models for farm simulation and management • Collaborate with
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, including prolonged droughts, floods, and wildfires and to support forecast modeling and scenario development for climate change and water allocation. The successful candidate will leverage existing water
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theoretical models to describe the material behavior. Share research results by writing academic papers and presenting them at technical conferences. Help with oversight of graduate and undergraduate assistants
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Postdoctoral Scholar. The position is currently available in Dr. de Castro’s Lab, focusing on the modeling, control, and analysis of electric transportation systems. The Postdoctoral Scholar will be responsible