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Field
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neurodegenerative diseases. ALS is the primary disease focus. The potential projects within this area include but are not limited to: Cell based assays (primarily imaging) for mitochondrial biology using human
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, Omics, and Imaging in Brain Development and Disease H. Park: Breast cancer, epigenetics, environmental exposures, and biomarkers F. Rahmatpanah: Prostate cancer disparities, Ovarian cancer, Epigenetics
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques
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regenerative medicine in the lab of Dr. Kai Mesa at Princeton University. The Mesa Lab has pioneered innovative intravital multiphoton imaging techniques, paired with advanced mouse genetic tools, to observe and
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relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
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Biology, Deep Learning, Histology, Immunochemistry, In Vivo Imaging, Micro-Computed Tomography (Micro-CT), Mouse Handling Questions For frequently asked questions about the application process, please refer
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diseases including coarctation of the aorta. This work will involve processing of medical image data, creation of idealized and subject-specific computational models, and/or implementation of a computational
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
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The X-ray Imaging Group (IMG) of the Advanced Photon Source (APS) is seeking a postdoctoral researcher with expertise in computational science and image processing to develop innovative methods