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in this position will conduct/lead applied as well as fundamental research in physics-informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities
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, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must have been received within the last three years, 1 year of experience with machine learning, natural
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, ability to follow-through, and strong problem-solving skills. Proficiency in Microsoft Excel and Word and willingness to learn other technologies as necessary. Ability to work independently and on a team
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calculating water footprints for water management studies Familiarity with one or more programming languages and machine learning toolkits Self-motivated and strong problem-solving skills Salary Range $70,000
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carbonate stratigraphy, structural geology fundamentals, and manipulation of seismic data. Formalized training on the use of machine learning and AI workflows that can be transferred to geoscience
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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using high spatial resolution satellite imagery Exceptional written communication abilities Strong programming experience Familiarity with machine learning algorithms (e.g., DCNN, XGBoost, SVM, Neural
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across the country, is currently building a comprehensive web app and mobile app data collection tool, developing machine learning algorithms to sense psychological states in daily life, and sending
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neuroimaging and computational analyses (i.e. machine learning methods, multimodal fusion, computational modeling) Demonstrated ability to use one or more programming languages for data analysis (i.e., Python
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geothermal resources, reservoir modeling, techno-economic analysis and machine learning implementation, and other emerging geothermal energy-related topics. The selectee will be expected to develop funding and