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. Excellent written and oral communication skills and the ability to communicate in English to an international scientific audience Preferred Qualifications: Motivated self-starter with the ability to work
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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of renewable energy and energy efficiency management and projects excellent quantitative and analytical background acquired through research, which can be applied to conduct research analyses on on-site energy
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optimization methods Track record of publications in relevant journals/conferences (e.g., ASME, IEEE, ASHRAE) Excellent written and oral communication skills. Motivated self-starter with the ability to work
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sensor data in a materials science context. An excellent record of productive and creative research demonstrated by publications in peer-reviewed journal papers. Excellent written and oral
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cycle and/or nuclear forensics Demonstrated expertise in materials characterization Willingness and excitement to work in a multidisciplinary team Excellent communication skills, including verbal
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, material and energy balances, and process performance metrics Demonstrated ability to communicate well in a team environment Excellent written and oral communication skills Preferred Qualifications
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applications. AI methods for CFD and FEM; multiphysics code integration. Experience with open-source fusion engineering codes (FESTIM, VertexCFD, OpenMC, etc). Excellent written and oral communication skills
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, contact damage mechanics and mechanisms, material microstructure and its characterization, and finite element analysis (FEA) and numerical analysis techniques Excellent record of productive and creative
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fabrication, instrumentation, experimental setup development, and advanced characterization techniques. An excellent record of productive and creative research as demonstrated by publications in peer-reviewed