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the Job related to staff position within a Research Infrastructure? No Offer Description Job Purpose As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
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research agenda using advanced quantitative methods—such as machine learning, computational modeling, big-data analytics, and wearable technologies—to study tourism, hospitality, and/or human performance
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, early detection of degradation, and residual life prediction. The program integrates physical modeling, machine learning, and data fusion techniques to optimize predictive maintenance, reduce operating
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of physics- informed machine learning and deep learning, with applications to inverse problems in scientific imaging and the modeling of complex physical systems. The overall goal is to integrate the knowledge
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
strong machine learning and numerical modelling background to add knowledge on the impact of geological heterogeneity and subsurface environments (e.g., depth, exhumation, temperature, pressure) to de-risk
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limited. To learn from past warmer climates and better understand the link between climate and extremes, we can use proxy-based climate reconstructions and climate models for past warmer climates. However
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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or comparable analytics tools Proficient in data mining, visualization, and machine learning skills Understanding of predictive modeling, NLP, and machine learning Excellent organizational and time-management
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. The University of North Georgia is currently accepting applications for a Data Science Intern - Institutional Student Worker. This position will: Learn how to apply statistical and machine learning techniques
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Posting Summary Logo Posting Number STA00032PO26 Job Family Student Enrichment Job Function Student Life USC Market Title Student Life Coordinator Link to USC Market Title https://uscjobs.sc.edu