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turbine engine applications. The Junior Researcher will be expected to think critically and creatively develop innovative solutions and approaches using modern ML methods and identify opportunities to adopt
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devices that can be automated. We are seeking a candidate that is looking for a dynamic, team-oriented setting to contribute to creating, new detection methods, devices, and protocols that can provide
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in-house design. Strong ability to use simulation software tools including finite difference time domain methods (FDTD), eigenmode expansion methods (EME), or finite-element methods (FEM), using tools
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competencies Ability to conduct materials research, including the synthesis, modification, characterization, and performance evaluation, using methods that are relevant to clean energy technologies. Knowledge
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of the following criteria: Technical competencies Knowledge of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates