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. ● Experience working with large-volume datasets, those likely requiring novel data structures and/or parallelized workflows for analytical processing ● Able to work independently with periodic guidance Preferred
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for the visualization, manipulation, optimization and implementation of static and dynamic parallel transmit solutions crucial for advancing the use of high field systems in human applications. Work Arrangement: The
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, this candidate will aid in the creation of computationally efficient tools (in Python, R, and bash) to organize, manage, and analyze genomic and genome-wide association study datasets using massively parallel
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templates and processes for scaling up the grant writing and fundraising support capabilities for multiple companies and/or BMDC in parallel. Develop a library of templates, awarded proposals and strategy