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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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-cell genomics tools to dissect tumor heterogeneity, dissecting the molecular and cellular mechanisms of cancer evolution. More information can be found on the lab?s website: https://www.dianyanglab.com
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. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture. Nanoscale characterisation expertise including Electron Microscopy and/or Atomic
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plate array microscope for simultaneous time-lapse video microscopy, enabling high-throughput single-cell analyses of rapidly migrating cells. You will be responsible for Develop new machine learning
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visiting https://kinglab.berkeley.edu/ . About the LART role: You will provide administrative and technical support to the Investigator and laboratory staff in the King Lab at UC Berkeley, which studies
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 11 days ago
immunohistochemistry, immunofluorescence and electron microscopy are available in-house. The Department of Pathology trains residents and has fellowships in surgical pathology, cytopathology, hematopathology
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at: https://www.gov.uk/browse/visas-immigration/work-visas To explore the post further or for any queries you may have, please contact: Dr. Louie Aspinall, Cryo-electron Microscopy Facility Manager Email
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structural characterization of the corneocyte–lipid interface using state-of-the-art neutron diffraction and neutron reflectometry, combined with advanced optical microscopy approaches. The project is
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protein/protein interactions - required with experience - Structural biology - required with experience - Cryo electron microscopy and RPE - basic knowledge Soft skills: - Commitment - Maturity
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete