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University of California San Francisco’s Lupo Lab seeks a Junior/Assistant/Associate/Full Specialist to advance MRI methods and machine learning for brain tumor patient evaluation. The role spans data acquisition, processing, and tool development for multimodal imaging analyses.
The successful candidate will perform data collection and management, image segmentation, spectral/multi-parametric analyses, and build predictive models.
Lupo Lab – Junior/Assistant/Associate/Full Specialist
The Lupo Lab is seeking a Junior, Assistant, Associate, or Full Specialist. The primary research area will focus on applying advanced MRI methods and/or machine learning to evaluate patients with brain tumors.
The candidate will be expected to develop, utilize, and extend innovative imaging and spectroscopic data acquisition, processing, and/or statistical and data analysis tools to analyze multimodal imaging and spectroscopic data. Specifically, the main tasks will involve data collection, management, and analysis, including image segmentation, spectral analysis, multi-parametric cohort analysis, building and training predictive models, and the translational application of the developed tools to study patients with brain tumors and/or other neurological diseases.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $57,000-$201,700.