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flux and the newly developed pixels detectors are opening new opportunities to investigate dynamics extending from sub-μs to thousands of second time scales. Nanoscale (~10 nm) imaging experiments
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 13 hours ago
of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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fitness in different environments. Please check out the lab website for more descriptions of our research: https://sifangwei.github.io/ 4. Position Description and Qualifications: We are mainly looking
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
/#documentos-relacionados ); ii) Curriculum Vitae; iii) official academic degree certificate; iv) proof of enrollment at a PhD of contract signature; v) motivation letter; Applications must be submitted at https
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defended their PhD and have not yet undertaken a postdoctoral position are eligible. The candidate will carry out scanning tunneling microscopy (STM) experiments in a cryogenic and ultra-high-vacuum
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to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science