2,563 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions in United States
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 22 hours ago
Materials. The learning objectives for this project are: (1) use atomistic simulation software and AI/ML techniques on sensing materials database development, (2) analyze the modeling results, and (3) learn
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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) to work on the Terrestrial Ecosystem Science Scientific Focus Area (TES SFA). The successful candidate will contribute to the development and evaluation of the Energy Exascale Earth System Model's land
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 22 hours ago
, and critical mineral extraction. The development of accurate models for process design and scale-up requires reliable characterization of material properties relevant to microwave heating. NETL is
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 22 hours ago
Development Program to obtain pertinent, high-quality information on natural gas hydrates systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in their natural environment under natural conditions and production scenarios. RIC supports major
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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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the supervision of center director Paolo Bocchini. The postdoc will perform collaborative research, develop innovative new approaches to catastrophe modeling and resilience assessment, assist the faculty in
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Requisition Id 17180 Overview: We are seeking a Computational Physicist to carry out modeling of plasma transport and plasma-material interactions (PMI) in the Materials Plasma Exposure eXperiment