22 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of Florida
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Classification Title: Postdoctoral Associate ~ rotavirus, norovirus, astrovirus, reovirus Classification Minimum Requirements: PhD in molecular biology, infectious disease, biology, or related
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) mathematics, physics, or a related STEM fields. Job Description: The Division of Biomedical Informatics and Data Science (BIDS) within the Department of Health Outcomes and Biomedical Informatics (HOBI
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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
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. The department offers an epidemiology PhD, Master of Science, and concentration in the MPH program. It is also home to two National Institutes of Health Training grants (T32). Faculty members are strongly
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PhD (foreign equivalent acceptable) in the field of Soil Science, Agronomy, Agriculture and Biological Engineering or a related field is required. Candidates must be supportive of the mission
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neurodegenerative diseases and iPSC-derived neurons representative of the disease. Testing promising compounds for their in vivo pharmacokinetic properties in wildtype and mouse models for neurodegenerative diseases
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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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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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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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Development (50%): Develop and apply advanced statistical modeling and coding skills (primarily in R) to build a QMRA framework using data from both the scientific literature and those collected from