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models and patient-derived samples. Apply neuroscience techniques such as electrophysiology or calcium imaging to cancer models. Key Requirements: Competitive candidates should have obtained a Ph.D. in
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and imaging for cancer research, with an emphasis on computational pathology to identify biomarkers predictive of treatment response, prognosis, and disease progression. The successful candidate will
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on bio- and/or geo-diversity be hosted by at least two of NHM´s research groups enhance and/or use NHM’s physical and digital collections, ideally both Expectations of the postdoc: Carry out the project
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University of California, Los Angeles Accessibility About California Consumer Privacy Act (CCPA) Opt-Out Icon Privacy Policy © 2007-2025 The Regents of the University of California. All rights reserved.
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
-Out Icon Privacy Policy © 2007-2025 The Regents of the University of California. All rights reserved.
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
Accessibility About California Consumer Privacy Act (CCPA) Opt-Out Icon Privacy Policy © 2007-2025 The Regents of the University of California. All rights reserved.
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, clinicians, and researchers on ongoing or future research projects including refractive surgery, keratoconus management, and AI integrationin OCT image analysis. Supervises research staff. Performs other
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and imaging for cancer research, with an emphasis on computational pathology to identify biomarkers predictive of treatment response, prognosis, and disease progression. The successful candidate will
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studies of brain aging and maintenance, and their relevance to cognitive decline and resilience. Anchoring deep individualized phenotyping, the work will involve a combination of brain imaging, biomarker