26 machine-learning-and-image-processing-"RMIT-University" Postdoctoral positions at Medical College of Wisconsin
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Qualifications Preferred experience: Expertise in MRI, artificial intelligence/machine learning, medical imaging software development, clinical MRI applications Why MCW? Outstanding Healthcare Coverage, including
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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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. 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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longitudinal modeling, machine learning methods, subgroup analysis, or other advanced modeling techniques is highly desirable. Software Proficiency: Experience with neuroimaging tools such as AFNI, SPM, FSL
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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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expertise in respiratory physiology and pertinent cellular and/or molecular mechanisms. Technical expertise in computer programming languages including R, Phython, and LabView are welcomed. Demonstrated
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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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, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we
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an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences
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statistical analysis and computer programming in any of the following areas are highly valued: structural equation modeling, mixed effects modeling, mediation analysis, spatial modeling, web-based mapping