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the following: Magnetic resonance imaging Python, MATLAB, C/C++ Excellent writing skills, as evidenced by first author publications Exposure to clinical MRI in general, with knowledge of brain tumor MRI
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. The knowledge gained using our “tumor ecology” paradigm will be translated into improvements in cancer prevention, diagnosis and therapy. Responsibilities Perform cell culture and tumorigenic assays with cancer
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biology, super-resolution microscopy, live-cell imaging, multi-omics, and mouse disease models to understand insulin-secretion deficiency and synapse degeneration. (See https://www.mcw.edu/departments/cell
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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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older adults, participating in multiple projects that employ advanced functional magnetic resonance imaging (fMRI) techniques to investigate brain network mechanisms underlying diverse grief trajectories
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required, including stereotaxic implantation/injection, vagal nerve isolation, lung histology, lavage collection, cell isolation, and opto/chemogenetics and/or calcium imaging. He/she should have published
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biology, super-resolution microscopy, live-cell imaging, multi-omics, and mouse disease models to understand insulin-secretion deficiency and synapse degeneration. (See https://www.mcw.edu/departments/cell
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required institutional training, Develop an IDP, Master key experimental techniques, begin preliminary experiments for Projects, and attend weekly lab meetings and division seminars, Q3-Q4 Milestone: Lead