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RibFrac, the RSNA pulmonary embolus CT dataset, or the RSNA abdominal trauma CT dataset, or are otherwise technically proficient with imbalanced cross-sectional imaging data are especially well-suited
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the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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(AIMBE) in 2024, and as a Fellow of the American Association for Dental, Oral, and Craniofacial Research (AADOCR) in 2025 Community Information Columbia offers small-town friendliness with big city
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molecular biology, microbiology, biochemistry techniques in the area of Salmonella biology and pathogenesis. Managing large data sets, synthesizing and integrating different types of data to come to
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computational infrastructure such as A100 and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research
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. The postdoc will process and analyze data, prepare manuscripts, and assist with MRI data collection. The CNS Lab has collected MRI data from samples of typically developing infants, infants who develop autism
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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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novel in-situ testing methodologies to observe deformation mechanisms at micro/nano scales. Data Acquisition and Analysis 25% Operate and maintain advanced experimental equipment, including but not