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Field
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based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
simulation tool for modelling hydrogen isotope transport in materials. The role is central to enhancing the scientific reliability and benchmarking capacity of FESTIM in support of fusion fuel cycle modelling
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to determine the criteria that floating platforms will need to achieve in order to operate reliability and achieve 90+% availability on the West Coast of Ireland. Specifically, the position will involve
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academic institutions. Our mission is to develop and execute a state-of-the-art 3D Heterogenous Integration manufacturing technology roadmap, and to provide critical pilot manufacturing capabilities
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The Faculty of Engineering, Department Elektronica en informatica, research group Electronics and Informatics: Research – Development - Innovation, is looking for a postdoctoral researcher. More
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, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs, projects, and activities at the Department. Fellows will
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contact Human Resources at 479.575.5351. Department: Civil Engineering Department's Website: https://engineering.uark.edu/ Summary of Job Duties: A postdoctoral researcher will develop functional materials
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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on reliability, security, and resilience of electric power systems and microgrids and stability analysis and Scientific Machine Learning (SciML) for microgrid applications. The successful candidate will be
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more