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experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with digital holography and electronic systems
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) and their relationships with neighboring tissues in pathophysiological conditions. We utilize in vivo mouse genetics, live imaging, 3D organoids, genome-wide Cas9/Crispr based functional genetic
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cancer and aging settings with CODEX multiplexed imaging. Required Qualifications at this Level Education/Training PhD Experience See job description for requirements. Skills See job description for
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samples for immunofluorescence staining (IF) or immunohistochemistry staining (IHC) including embedding samples for paraffin sections, staining fixed samples with antibodies and imaging using light
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, including advanced neural network models and LLM approaches, to efficiently model semantic structures in images, concepts, and real-world stimuli. Applications to age-related pathologies including Alzheimer's
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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learning and image processing techniques for estimating the onset of arterial disease. 2)Implementation of denoisers as priors for the solution of inverse problems. Implement code in PyTorch and other
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. Occupational Summary The Duke Neuroradiology Division specializes in CT fluoroscopy guided spine intervention procedures to treat pain as well as the diagnostic workup and treatment of patients with CSF leaks
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, Drosophila melanogaster (reviewed in Kiehart et al. 2017 Ann. Rev. Cell Dev. Biol. 33:169). Our lab applies high resolution live imaging techniques combined with biophysical approaches, genetics, gene
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to treat neurological disorders, including epilepsy, movement disorders, pain, addiction, and neurodegenerative diseases. Contribute to groundbreaking research with real-world impact. Key Responsibilities