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will enable multispectral imaging using new wavefront analysers with MKIDS operating in photon counting mode. These new MKIDs will be designed for the detection and study of exoplanets. The PhD student
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will work as part of a collaborative team, working closely with fellow postdoctoral researchers and PhD candidates across ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS) and other
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contact the OII directly for details on the affirmation processes: https://indigenous.uwo.ca/ . The policy can be viewed at: POLICY 1.58 - Affirming Declarations of Indigenous Citizenship or Membership
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are available in the laboratory. We develop novel inhibitors to treat ovarian cancers, study biomarkers, histology, and imaging to diagnose ovarian cancers and detect ovarian cancers early, investigate the role
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the Lisbon School of Architecture of the Universidade de Lisboa, in the form of an employment contract in public functions. This competition procedure follows the guidelines established under the terms
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California State University, Los Angeles | Los Angeles, California | United States | about 8 hours ago
the Apply Now icon on this page or visit Faculty Lecturer Positions or https://careers.calstatela.edu . Please address all questions to the department chair, Michael Clarke, at: mclarke2@calstatela.edu
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California State University, Los Angeles | Los Angeles, California | United States | about 8 hours ago
the Apply Now icon on this page or visit Faculty Lecturer Positions or https://careers.calstatela.edu . Please address all questions to the department chair, Michael Clarke, at mclarke2@calstatela.edu. Note
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the Lisbon School of Architecture of the Universidade de Lisboa, in the form of an employment contract in public functions. This competition procedure follows the guidelines established under the terms
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, you will receive individualized mentorship and rigorous technical training in advanced molecular and imaging techniques, including: • In vivo mouse models of gene therapy • Complex kidney tissue
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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