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mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Strong programming skills (Python, Julia, Matlab, C++, or similar
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, modeling, or AI/ML approaches in agricultural or environmental research. -Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud). -Knowledge of full-stack
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Farmer Autism Center, the Center for Public Management, the UNT Speech and Hearing Center, the UNT Work Inclusion and Supported Employment (UNTWISE) program, UNT ELEVAR, and several professional
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strong collaborative and programmatic ties with several other departments within (Psychology, Physics, Chemistry-Biochemistry) and outside the College of Sciences (Department Computer Science), College
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from the TexNet earth observation program or assets that provide quality data. Compare different methods and tools for deformation modelling. Engage in outside funding activities and promote programs
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translational research models—SHIELD supports research on therapeutic strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical applications. The program
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unique atmosphere where there is expertise to dig deep into computational modelling, while remaining connected to the experimental side. This interdisciplinary atmosphere has been a main catalyst for many
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to support its multidisciplinary program focused on advancing the early detection, assessment, diagnosis, and treatment of eating disorders across the lifespan. CARE conducts large-scale, federally funded
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strong collaborative and programmatic ties with several other departments, including Psychology, Pharmacy, Physics, Chemistry, and Computer Science. This position represents a unique opportunity for an
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will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage