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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines
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neuropsychological assessment with brain imaging data (e.g., functional MRI, structural MRI, EEG) Proficiency with neuroimaging analysis software or electrophysiological data processing Experience conducting clinical
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experimental retinal biology, with strong mentorship and career development support. Primary Responsibilities Research and Experimental Work • Perform and lead bioinformatic analysis of single-cell RNA
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-to-end experimental paradigms, including behavioral training and tracking, multi-Neuropixels recordings, imaging- and function-based recording path registration, and data quality control pipelines
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or iPSCs). · Strong experimental skills in molecular and cellular biology, including techniques such as RNA/protein expression analysis, CRISPR/Cas9 gene editing, immunofluorescence, flow cytometry, and
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biology, cancer biology, and/or molecular biology preferred • Experience in image processing and analysis also preferred • The candidate will report directly to the Principal Investigator and will
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screening, high-content imaging, or functional assays of sensory or neuronal activity. · Computational or bioinformatics experience for analysis of omics data. Required Application Materials: 1. Cover letter
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. The current project uses structural neuroimaging to guide DBS lead placement and optimal DBS settings, as well as kinematic analysis of behavioral motor tasks. Additional projects include the development of a
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whole-body cancer detection. We are interested in both technical development and clinical translation pipelines, leveraging resources at the Lucas Center for Imaging, synergies across the clinical MRI
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., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images. Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics