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or nats, balances model complexity against goodness-of-fit. It is essentially a formal implementation of Occam's razor. A key advantage of MML is that the message length provides a universal gauge for
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: 278915095 Position: Postdoctoral Associate: Integrating political economy insights into energy modeling Description: The Peng group in the School of Public and International Affairs and the Andlinger Center
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establishedDogra Lab (https://mann.usc.edu/faculty/dogra/ )at USC invites applications for two Postdoctoral Scholar Research Associates at the intersection of artificial intelligence (AI), mechanistic modeling, and
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associate positions. Dr. Wei Peng's group (www.weipengenergy.com ) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies
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associate positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies
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Job Description Job Responsibilities: -Design and implement AI/ML models to analyze large-scale agricultural datasets (e.g., field trials, satellite imagery, IoT sensor data). -Develop pipelines
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and pre-process clinical datasets (handling missing values, outliers, ICD-10 and CPT code grouping) ⢠Implement advanced data imputation methods (e.g., Gaussian Copula)  Machine Learning and Modeling
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biochemical techniques with mouse models of neurodegeneration and behavioral studies to address our research questions. Job Summary Conducts independent scientific research projects from inception
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of Arizona's Department of Psychology invites you to apply to the role of Postdoctoral Research Associate I. This position will develop and refine computational approaches, analyses, and neural circuit models
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, and neural circuit models for understanding local-field and neural ensemble data collected from rodent models of healthy aging and age-associated disorders. These analyses and models will contribute