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., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB). Additional Information
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representative research, whether scholarly, technical, creative practice, or a combination thereof. Names and contact information of three individuals who can provide recommendations (Note: Letters of
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learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health
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interpretation to inform real world practice and policy-relevant insights. Support the development of practitioner-facing tools, resources, and products that translate research findings into actionable strategies