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manufacturing technologies and manufacturing systems that could achieve transformative gains in process productivity and enhance manufacturing sustainability Strong analytical capabilities with an experience in
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physics who are motivated to work across disciplinary boundaries and develop new experimental capabilities. Major Duties/Responsibilities: Design and conduct experiments combining nanoscale photonics
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Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems Experience in analyzing data from scattering experiments Work with others to maintain a
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, privacy definitions, and apply it to develop efficient privacy preserved federated learning model. Communicate and coordinate experimental results with other domain experts to facilitate collaboration
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and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in
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field experimental ecophysiology measurements Experience applying ML/AI to biological or environmental data (e.g., transformer, state space models, multi-layer perceptrons, convolutional neural networks
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. Conduct in situ neutron or X-ray diffraction experiments to study micromechanical behavior under loading conditions (e.g., tension, compression, creep). Design and execute mechanical testing experiments
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transformation response Demonstrated expertise in process development/optimization for digital twin, surrogate and reduced-order models and ML/AI tools applied to macro-scale deformation in AM Experience with
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processor counts). Excellent interpersonal skills, oral and written communication skills, organizational skills, and strong personal motivation. The ability to work in a dynamic, team environment. Experience
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Engineering completed within the last 5 years. Laboratory and experimental experience Preferred Qualifications: Experience in the design, development, and operation of experimental thermal-fluid systems