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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
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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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, 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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the Biological Sciences. Interdisciplinary skills and approaches in Genomics, Advanced Imaging, Biochemistry, Bioinformatics, Cell Biology, Mouse models, and Research Translation are desired. This is an ongoing
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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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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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. The experiments in the lab will vary over time. They can be divided into three primary categories. First, using microscopy to image different parts of the plant depending on growing conditions. Second, harvesting
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. The postdoc will process and analyze data, prepare manuscripts, and assist with MRI data collection. The CNS Lab has collected MRI data from samples of typically developing infants, infants who develop autism
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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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The X-ray Imaging Group (IMG) at the Advanced Photon Source (APS) is seeking a postdoctoral researcher with expertise in biomedical imaging and image processing to develop advanced processing