4,718 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral research jobs
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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 6 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 6 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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Challenge | Overheating in existing dwellings due to increasing hot weather Change | Affordable, acceptable, effective nature driven facades Impact | Improved health and lower cooling energy demand
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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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; collaborating with municipalities, urban planners, designers, and residents in model co-creation and validation workshops; contributing to the development of an interactive, publicly accessible web interface (e.g
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models of high-voltage components, substations and protection. What you will do Develop and validate detailed EMT models of high-voltage components in RSCAD/RTDS, for example lines and cables, transformers
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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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scholarship in Medical Science with a focus on molecular mechanisms of MLL1-driven leukaemia. The scholarship is full-time studies for two years, beginning 1st of January 2027 or by agreement. Application