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Field
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sectioning, critical point drying, sputter coating, high-pressure freezing, freeze substitution, immunogold labeling, and negative staining. Perform imaging, data collection, and analysis for specific projects
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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. Candidates with interest and experience in the study of accreting black holes or neutron stars, and candidates with experience in multi-wavelength data analysis, coding pipelines for optical imaging
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Postdoctoral Research Associate to functionally characterize the role of circular RNAs (circRNAs) in Alzheimer’s disease (AD). CircRNA is a new category of non-coding RNAs that result from backsplicing events
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imaging techniques and/or behavioral testing in rodents is advantageous. It is an advantage to have expertise in genetic cell tracing techniques. Experience in managing mouse colonies with multiple
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expertise in the Rutgers CryoEM & Nanoimaging Facility (RCNF). The RCNF serves as a university-wide resource for the imaging and three-dimensional reconstruction of cells and biomolecules. As a member in the
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combining chronic in vivo imaging (two-photon microscopy, fiber photometry, GRIN lens imaging) with genetic and molecular approaches to dissect how cell type- and projection-specific plasticity orchestrate