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Field
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multiphoton microscope system. Acquisition and processing of imaging data. Cooperation with biological partners. Documentation of results (reports, plots, preparation of materials for presentations/publications
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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particular. By implementing LLM‑driven agents that plan the analysis workflow, call established image-analysis modules and judge their own output, you will streamline image processing efforts and enable
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and process engineering to develop, evaluate and improve electrochemical reactors and their supporting systems. We are particularly interested in candidates with practical experience in electrolysers
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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technologies for sustainable chemical production and energy conversion. You will combine hands-on experimentation with device and process engineering to develop, evaluate and improve electrochemical reactors and
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engineering, or a closely related field. Experience in one or more of the following areas is desirable: optical system design, OCT, microscopy, laser-tissue interactions, ultrafast lasers, image processing
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with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. Experience in
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into practical design principles for low-debris surfaces and operating windows in advanced EUV source environments. Qualifications You have (or will soon obtain) a PhD in (Applied) Physics, Mechanical Engineering
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 8 days ago
surface characterization techniques. The development of automated pipelines for image-based model construction, registration across measurement modalities, and propagation of data processing uncertainties