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Classification Title: Post-Doctoral Associate Job Description: A Post-doctoral Associate in Coastal Water Level Variability is available for a researcher to join a project led by Dr. Katy Serafin in
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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of Mexico, and 67 miles from the Atlantic Ocean, and within a 2-hour drive to large metropolitan areas (Orlando, Tampa, Jacksonville). The beautiful climate and extensive nearby parks and recreational areas
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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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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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Gainesville easily situated for day trip to beautiful beaches along the Atlantic Ocean and Gulf of Mexico, and to theme parks including Disney World, and other cities include Orlando, Jacksonville, and Tampa
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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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function following cervical spinal cord injury (SCI). The position involves conducting preclinical studies using rodent models to explore neuroplasticity-based therapies—such as therapeutic acute
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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