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Description The selected candidate will join the team studying the signaling pathways responsible for the assembly of nuclear pore complexes during the cell cycle in healthy and diseased cells, in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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of medical databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and signals (including speech and audio). Where to apply Website https://www.uam.es
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the search for a polarized signal in the Cosmic Microwave Background from a primordial background of gravitational waves through mm-wave observations from the South Pole. The experiment relies on large arrays
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improvement strategies. Stakeholder Collaboration: Serve as a technical point of contact for data-related inquiries, working closely with Technology Operations and Supply Chain leadership to maintain project
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requesting to be a Reader for and are in good standing at the University with at least a 3.0 cumulative grade-point average (GPA). To access your UCM unofficial transcript, please follow the instructions
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transformation of society in western Europe (GREEKWEST)', which is funded by an ERC Starting Grant and hosted in the Department of Archaeology, Classics and Egyptology ( https://www.liverpool.ac.uk/archaeology
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or Departmental Website: https://www.husainlab.org/ (link is external) How to Submit Application Materials: Please submit application materials addressed to Dr. Sohail Husain and electronically to Dr. Olivia Tsai
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and by signals from the gastrointestinal tract. We perform experiments using an array of state-of-the-art techniques from systems neuroscience, genetics, and physiology. More information about this lab
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ICT Services & Applications. The Signal Processing and Communications (SIGCOM) research group of SnT conducts research aimed at designing, emulating and testing new high-performance systems