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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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live-imaging, immunohistochemical, and transcriptomic studies of wound repair using zebrafish and arabidopsis models tissue damage/repair. You will join the lab of Professor Paul Martin, (http
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dynamical scientific environment, and have access to many research platforms, including well-equipped imaging and animal facilities. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9197-LUCEST
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
: 87118BR UCSF's Pediatric Radiology Program includes the most advanced availabile imaging technologies in an environment that is safe and comfortable for children. We offer a full spectrum of imaging
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interdisciplinary research paradigm known as "knotted chiral meta matter" (KCM²), which cross-pollinates topology and chirality across disciplines and scales. While our work is rooted in fundamental research, many
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imaging methodology, two-photon voltage imaging, to record the activity of neurons in the cerebral cortex with high temporal precision and deduce the function of the recorded neurons in sound information
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of Cincinnati Imaging Management Center by assisting imaging scientists and the Research Manager in executing research-driven imaging operations across multi-center stroke studies. This position plays a key role
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main objective of the research project is to design and build a prototype
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leader in the digital world. We are looking for an Assistant/Associate Professor in Video Processing and Animationwith Deep Learning to jointhe Multimedia (MM)teamin the Image, Data, Signal (IDS
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for radiologists and residents. Answer incoming calls and direct inquiries appropriately. Upload external imaging studies into Sectra accurately and efficiently. Manage Sectra read lists. Monitor the ER and