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responsibilities and characteristics of this position are: Develop and apply mathematical, computational, and agent-based models to evaluate sustainability and resilience in food, packaging, and supply chains
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Associate to contribute to our focused research program investigating maternal-fetal health and developmental programming. Our lab specializes in understanding how maternal stressors during pregnancy
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Classification Title: Post Doc Associate Classification Minimum Requirements: Ph.D. degree in biomedical informatics/bioinformatics, computer science, data science, electronic/biomedical engineering
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a significant amount of hydrologic modeling; thus, experience working with the Soil and Water Assessment Tool (SWAT) are desired. The applicant should have a valid driver's license and anticipate
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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
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, imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with multiple stakeholders, including informatics experts, clinicians, basic scientists, and
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collaboration with the UF Artificial Intelligence initiative. The successful candidate will have the opportunity to work on cutting-edge projects aimed at building large-scale models for neuroimaging and
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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protostellar evolution models to radiative transfer grids. The goal is to synthesize these protostar models into protocluster models and compare them to JWST and ALMA data. The applicant must have a Ph.D. in
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-PIs experts in network science (Dr. Christopher McCarty), corpus linguistics (Dr. Stefanie Wulff), computational linguistics (Dr. Zoey Liu), and Spanish Linguistics (Dr. Diego Pascual y Cabo) beginning