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Field
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responsible for fabrication, characterization (both electrical and acoustic) and pre-clinical implementation (as part of a team performing both ex-vivo and large animal in-vivo studies) of catheter-based
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injury, and bleeding pelvic fractures using a very large in-house CT dataset with high-quality labeling and outcome data . 2) Training and validation of state-of-the-art segmentation models
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neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio-)Statistics
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National Institutes of Health T32 grants based at Stanford and the VA Big Data-Scientist Training Enhancement Program (BD-STEP). For more senior postdoctoral candidates with MD degrees who may be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department Globl Hlth and Infect Disease - 427801 Posting Open Date 08/17/2022 Application Deadline Open Until Filled No Position Type Postdoctoral Scholar
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model robustness and generalizability with external validation, incorporate multi-modal data (e.g., imaging plus clinical variables), and pilot integration into decision-support workflows. Begin drafting
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to residual clinical specimens to study tumor classification and evolution. Over 500 FLEXseq methylation profiles have been generated to date as a reference starting point. Over 3500 CSFs (880), blood plasma