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) spectrometers, and they have been subjects of numerous dryland empirical, remote sensing, and modeling studies. The postdoc will be joining a collaborative team but will also have plenty of freedom to develop
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through collaboration with team members conducting microbial and modeling analyses. The project will provide excellent exposure and networking opportunities for multiple career paths in academia and
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on Scattering Amplitudes to join the group of Callum Jones, and one with focus on particle physics Beyond the Standard Model to join the group of Shufang Su. Start dates August 24, 2026 or a mutually agreed upon
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) 4+ years’ experience in Matlab™/C++/Python 2+ years’ experience with acoustic modeling software (k-Wave, FOCUS, Field II) 2_ years’ formulating and characterizing nanoparticles or contrast agents
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Responsibilities Research and scholarly activities: Conduct independent and collaborative research. Design experiments, develop models, and analyze results. Maintain accurate records of methods, data, and results
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& Responsibilities Duties and Responsibilities Research and scholarly activities: Conduct independent and collaborative research. Design experiments, develop models, and analyze results. Maintain accurate records
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Postdoctoral Research Associate to join our research group working at the intersection of advanced manufacturing, computational modeling, and machine learning. This position offers an opportunity to contribute
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independent research on the design and fabrication of neuromodulation devices and the characterization of these devices. Collaborate with lab members to test devices in cell culture and animal model studies
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data