14 scholarship-phd-agent-based-modelling Postdoctoral positions at University of Florida
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of soft materials, and mammalian and/or bacterial cell culture(s). Practical knowledge in high-throughput experimentation, confocal microscopy, and image analysis will be a plus. Must have PhD in Polymer
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fibroids and eliminating fibroid health disparities. The project will provide education on fibroid symptoms/management, identify barriers to care, and improve risk prediction models to identify women with
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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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induced by environmental exposure and endogenous metabolism contribute to cancer and aging related diseases. Must have PhD in chemistry/biology. This position will be initially awarded for one year, and
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learning, and data modeling techniques Preferred: Prior working experience with EHR data, machine learning, deep learning, imaging informatics, and large language models (LLM) is preferred. Prior working
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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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working on several projects involving medical image analysis, neuroimaging, and neuroscience. This position is based in the Developmental Network Neurobiology Lab in the UF School of Medicine in
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, imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with diverse stakeholders, including informatics experts, clinicians, basic scientists, and
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research, generating publications, contributing to grants and progress reports, and mentoring junior personnel in the lab. Successful candidates must have a PhD in chemistry/chemical biology. This position
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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