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Field
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computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real
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engineering best practices, including testing, documentation, source code management, and release procedures. Effective written and verbal communication skills, including the ability to work productively with
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decide the fate of their RNAs - whether to translate, store, or degrade them. Using biochemical reconstitution, fluorescent labeling, and single-molecule imaging, you will explore how molecular machines
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may be extended by the number of months spent on leave related to childcare and upbringing of children granted under the terms of the Labor Code, and in the case of women, by 18 months for each born
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Organization U.S. Department of Energy (DOE) Reference Code DOE-RPP-NMLEEP-2026 How to Apply Click on Apply below to start your application. Application Deadline 5/9/2026 1:50:00 AM Eastern Time
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, primarily functional Magnetic Resonance Imaging (fMRI), combined with behavioural, cognitive, and affective measures. The successful candidate will join an interdisciplinary research team working
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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analysis, based primarily on the evaluation of written documents, spatial data, interviews, and image sources. You have a doctorate in geography, environmental sciences, or similar disciplines and experience
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directions, as well as close mentorship tailored to career goals. Additionally, this position offers access to state-of-the-art facilities and core resources (e.g., imaging, flow cytometry, proteomics), and
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for next-generation sensing and imaging applications. Who we are looking for The following requirements are mandatory: A doctoral degree or an equivalent foreign degree in a relevant field. This eligibility