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. This position offers the opportunity to work in a vibrant, well-funded lab with strong collaborations across neuropathology, neurology, and neuroscience, and access to advanced resources such as imaging cores
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reliable operation of the Rapid Cycling Synchrotron (RCS), Electron Storage Ring (ESR), and Hadron Storage Ring (HSR). The researcher will develop and analyze impedance models, perform high-fidelity beam
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since 2009, currently contributing to the analysis and operation of XENONnT. The XENON group at SUBATECH includes 5 permanent researchers (2 from CNRS, 2 from IMT Atlantique, 1 from the University
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experimentation is required. Mastery of techniques associated with imaging intracellular Ca2+ oscillations and phenotypic evaluation of organelles will be considered a plus. Experience gained in different
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz ) in
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in medical image processing, registration and analysis and a long-term interest to work in the health care sector. If you are interested in this position please contact: Dr. Allison Payne
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is
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experiments may involve images, sounds or real objects that can be seen and felt. The MPAC lab has a research dedicated laboratory equipped with state-of art facilities for behavioural testing, including eye
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generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and instead integrates the indexing and retrieval process into a single, end-to-end