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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
techniques including ML-guided imaging cytometry, long-term time-lapse microscopy, and MS-based characterization of non-canonical PTMs to study how metabolites coordinate stress and development in plants
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 2 days ago
-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and institute host an international team of researchers from more than 15 countries
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- the eye - has evolved millions of years into one of the most advanced systems for imaging and analysing visual data. The eye also houses the most easily accessible part of the brain's neuronal network
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objective of this project is to compare the modern philosophy of Bildung and the contemporary paradigm of the Learning Society (LS) by systematically analyzing their homological structures. Through
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Radiography: Radiography involves the controlled use of ionising radiation, radioactive substances and non-ionising radiation to produce diagnostic quality images of the human body, facilitating the diagnosis
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period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research
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multitechnique approach, using ion beam imaging/spectroscopy, for example. In this context, the postdoctoral associate will be in charge of developing an operando/in situ cell compatible with ion beam analysis
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very-long-baseline interferometry (VLBI) system, named VLBI Global Observing System (VGOS) by (1) deriving structure images of the Active Galactic Nuclei (AGNs) directly from VGOS observations, (2
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laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge on the human visual system
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experience in the document image analysis field. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and