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-based computational homogenization. Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting experimental work
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in programming languages and software commonly used in modeling (e.g., NetLogo, AnyLogic, Mesa, InsightMaker, etc.) is desirable. • Personal and relational qualities will be emphasized. Ambitions
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of data using R software will be advantageous for the position. The candidate should have an excellent academic record, be highly motivated, demonstrate independent scientific thinking and creativity, and
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, and environmental sciences, is desirable. • Proficiency in programming languages and software commonly used in modeling (e.g., NetLogo, AnyLogic, Mesa, InsightMaker, etc.) is desirable. • Personal
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methods to be considered for numerical optimization by an Energy and Emission Management System (EEMS). Data-driven AI methods (e.g. Reinforcement Learning and/or Recurrent Neural Networks) to be considered
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path. As part of the EPT Women in Science initiative we continue to build on our international network, inviting prominent female academics within and beyond the field of Engineering to speak at our