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Field
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reports, conference presentations, or related scholarly activities. Preferred Qualifications - Experience analyzing, modeling, and interpreting complex experimental datasets, as demonstrated through prior
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with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm models with explicit modeling of soil processes and plant growth. Familiarity with system
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and physical modelling. The goal of this position is to develop data-driven approaches to AI-based analysis of complex interaction systems and suitable hybrid architectures for this purpose
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 21 hours ago
stochastic methods. Build 3D geologic and petrophysical models of oil and gas reservoirs using well logs, core, seismic, and completion data. Integrate machine-learning and data-driven techniques for reservoir
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technical skillset through expert-led training in smFRET imaging to perform experiments, analyze complex datasets, and develop quantitative models to explain GPCR signaling mechanisms. • Work independently
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methylation, chromatin accessibility), and clinical data. · Develop, apply, and benchmark machine learning and statistical models for subtype discovery, classification, and outcome prediction. · Contribute
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analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is highly desirable. Although experience with microlensing and transit exoplanet searches
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partnership with breeding and research programs, the unit develops and supports open-source analytical workflows, software applications, and educational resources that strengthen data-driven discovery and
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, battery electric and fuel cell powertrain design, development of supervisory control logic, validation of vehicle models against test data etc. The projects and interests of this group span all modes
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system