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The Electron Microscopy Facility (EMF) at ISTA supports a vibrant international scientific community, with state-of-the-art EM infrastructure. The facility is expanding its application range through
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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 Developing new machine learning
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transmission electron microscopy (MACLE campus platform), and in-situ temperature experiments (laboratory XRD and TEM on the MACLE platform). The project benefits from established national (ANR CHATOFOR) and
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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: 1 Year Fixed Term Appointment Start Date: Immediate Group or Departmental Website: http://stanfordsumit.com (link is external) https://www.pedrad.radiologyweb.su.domains/ (link is external) How
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Scanning Tunneling Microscope and the vacuum suitcase Infrared Spectromicroscopy Platform (MJOLNIR) Scanning Electron Microscope (+ elemental analysis) More detailed information can be found here https
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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well as Histology Suite, supporting and training undergraduate and graduate students, researchers and other internal and external stakeholders, in various imaging techniques, primarily electron microscopy
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; immunofluorescence and immunohistochemistry; proximity ligation assays; microscopy techniques (widefield, confocal, super-resolution STED, correlative light and electron microscopy, atomic force microscopy, multiplex
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy