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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
of longitudinal data, etc.). Examples of things a successful candidate will be expected to assist with include: Lead ongoing externally funded clinical research projects within the ITR. Design, implement, and
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integrate protein biochemistry, analytical methods, molecular microbiology, and quantitative data analysis. These efforts will improve assay sensitivity, selectivity, stability, and performance in clinically
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twins of patients, modeling disease biology across scales—from genome to cell to circuit—to enable proactive, personalized intervention. By combining large-scale human data (genomes, single-cell and
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affected by mental illness. The postdoctoral scholar will work on projects focused on autism and schizophrenia-spectrum disorders, using large-scale neuroimaging, clinical, cognitive, and molecular datasets
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research profile focuses on development of novel statistical methods and software for the analysis of large and complex data sets. Applications include e.g., evaluation of large-scale achievement tests, and
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, including R01 (NCI renewal recently scored 1st percentile) and R35 awards, as well as institutional funding from ALSAC. We are closely integrated into the Pediatric Cancer Dependency Map, PedDep, a large
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demonstrable experience in the analysis of large-scale biological datasets, applying statistical modelling and computational approaches to high-dimensional data such as bulk and single-cell sequencing, gene
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for analysing spatial omics and histology data from kidney tissue integrate imaging and molecular data to study how spatial patterns within tissue relate to graft health and disease work with clinical
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, neural signals, behavioral, cognitive, genetic, and clinical data to model brain structure, function, and dynamics across individuals and populations. Key Responsibilities The postdoctoral fellow will
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in Nature , Cancer Cell , Nature Cancer, Lancet Oncology , and Journal of Clinical Oncology . Leveraging our exquisite access to patient material linked to large clinical trial cohorts, we are applying