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Postdoctoral Research Associate for a one-year position to support interdisciplinary research at the interface of data analytics, modeling, and agricultural/environmental systems. The position focuses
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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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, 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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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
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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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: Ph.D. in Geography, Geology, Oceanography, Coastal Engineering, Earth Science, Computer Science, or a closely related field Strong programming skills in Python (preferred), Matlab, or R Demonstrated