32 phd-in-mathematical-modelling-population Postdoctoral positions at University of Florida
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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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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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ideally August 18, 2025. The project uses interdisciplinary methods from social network science, language modeling, and cognitive science. In this longitudinal project we will follow learners of Spanish who
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manuscripts, and assisting with grant proposal development. Candidates must have PhD in chemistry. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and
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visit: hr.ufl.edu/benefits Required Qualifications: A PhD in any area of ecology, evolution, or related fields. Experience with genomics, transcriptomics, and bioinformatics or motivation to acquire
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historical CORONA satellite imagery Integrate multi-source datasets including GEDI LiDAR and GLOBE citizen science observations Apply cutting-edge geospatial and statistical modeling techniques to quantify
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Classification Title: Post Doctoral Associate Classification Minimum Requirements: PhD in experimental particle physics at the time of appointment. Job Description: The UF CMS group currently
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animal models and extending these insights to understanding and intervening in human diseases. Successful candidates will be self-motivated scientists, with a passion for advancing cutting-edge research
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opportunities. Gainesville is a vibrant city with a low cost of living, diverse population, excellent public schools, Division I NCAA sports, and no state income tax. The area is known for its nature parks, bike
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novel, lab-generated mouse models, and available human patient samples, the lab identifies and validates novel targets in obesity and MASLD and subsequently develops pharmacological tools that ameliorate