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Field
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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micromechanical behavior under loading conditions (e.g., tension, compression, creep). Perform detailed microstructural characterization using SEM, EBSD, TEM, XRD, and related techniques. Analyze lattice strain
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pathways. As part of the application, applicants are asked to submit a short video sharing personal motivation for their work, what draws the applicant to the research problem or question, and why
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. Create scalable approaches to measure shared visual attention, caregiver positioning, speech, and dyadic engagement using video, audio, pose, and object information. Design, implement, and evaluate
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/Responsibilities: Perform composites manufacturing using a variety of techniques including compression and/or injection molding, and additive manufacturing Operate characterization techniques such as DSC, FTIR, TGA
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are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
video, and thoughtful discussion forums. For some existing courses at Sloan, the Fellow will create assessment systems; help to explore how AI can be leveraged in online education. Some of the content
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 19 hours ago
, to investigate dislocation core structures, dislocation mobility, and dislocation-driven mechanical behavior such as tension, compression, creep, and fatigue as functions of compositions, temperature, stress, time
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., video, audio, artifacts). Experience in using qualitative data analysis software. Experience in creating interactive design prototypes and data visualizations. Experience in machine learning or generative
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related field. Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based