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with—or a strong motivation to rapidly learn—machine learning techniques, particularly for real-time or large-scale data processing Preferred: Proficiency in Python and familiarity with Rust or other
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research impact. More information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a motivated, detail-oriented researcher enthusiastic about
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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preclinical datasets, including data extracted from electronic health records, using Python, R, and other relevant tools. Applies statistical and machine learning methods (e.g., descriptive statistics
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject
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. The full job description is available at https://www.mghpcc.org/job-opportunities/ Job Requirements REQUIRED: A minimum of five years of experience developing full-stack applications, with proficiency in
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team delivering critical infrastructure to some of the nation’s leading AI researchers. The full job description is available at https://www.mghpcc.org/job-opportunities/ Job Requirements REQUIRED
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Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Research to Operations in Hydrology (CIROH; https://ciroh.ua.edu/). CIROH, headquartered at the University of Alabama (UA), consists