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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 11 hours ago
you for multiple applications in Zintellect, they must click the unique link in each email request, but will be given the opportunity to copy over what they had previously submitted. All documents must
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to build and run advanced numerical models, carry out simulations and analyse results in a systematic and transparent way. Depending on ongoing projects, you may be involved in collaboration with industrial
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and implement experiential and data-informed learning methodologies, including simulations, venture creation frameworks, and multi-agent learning environments involving entrepreneurs, investors, and
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] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop open data and computational
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semiconductor device fabrication and cleanroom processing Experience in electrical characterization and data analysis of semiconductor devices Knowledge of TCAD simulation (e.g., Synopsys Sentaurus or Silvaco) is
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neighbourhoods in Barcelona. Developing and conducting a discrete choice experiment (or related choice modelling approach) to identify behavioural preferences and mobility decision-making processes. Simulating
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to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical
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pathways of atmospheric organic reactions. AI-augmented molecular simulations: developing and applying machine-learning force fields and state-of-the-art enhanced sampling to reveal interfacial and
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researchers to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical
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, simulation, manufacturing systems, 5G/6G, decision support and real industrial demonstrators. The overall ambition is to demonstrate significant reductions in costs arising from uncertainty, risk and variation