Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
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
-
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
-
using high spatial resolution satellite imagery Exceptional written communication abilities Strong programming experience Familiarity with machine learning algorithms (e.g., DCNN, XGBoost, SVM, Neural
-
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
-
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
-
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
-
-year, project-based learning opportunity for a recent graduate who wants to apply their knowledge towards community well-being in Texas. Purpose The fellowship will expand the foundation’s capacity
-
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