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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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/researchgroups/nuclear-organization-by-actin) . We are seeking a motivated researcher to join our team in the field of cell and molecular biology. By combining advanced imaging techniques with functional genomics
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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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Post-doctoral Research Fellow Level 1 or 2 in Microbiology Imaging, UCD School of Chemical and Bioprocess Engineering, 18 months Applications are invited for a temporary post of a Post-doctoral
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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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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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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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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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, 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