-
), genome/phenotype analysis (Dr. Jihoon Kim) and applications of large language models (Dr. Ohno-Machado). The Postdoctoral Associate will be responsible for co-developing and conducting research projects
-
analysis methods, including quantitative structural analysis, network-based functional analysis, voxelwise cross-modality analyses, graph theoretic approaches, and machine-learning based applications
-
/CT and PET/MR imaging for cardiac applications. Responsibilities involve working with preclinical large animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data
-
research projects, writing peer-reviewed articles, and formulating new research questions for future analysis. We are looking for individuals with a background in genetics/epigenetics, biomedical informatics
-
conducting research projects and studies, writing peer-reviewed articles, and formulating new research questions for future analysis. We are looking for individuals with a background in data science, computer
-
Science, and Harsh Parikh, PhD, incoming Assistant Professor in the Department of Biostatistics, with a focus on the analysis of electronic health records and real-world healthcare data. There may also be
-
Lab to identify molecular signatures defining sickle cell disease (SCD) and reduced vaccine response by analysis of systems-level data profiling innate immunity and long-term adaptive immunity among
-
includes: Single-cell and/or spatial genomics technologies Next-generation sequencing (NGS) techniques Computational analysis of genomic data Working with mouse models of disease Flow cytometry and related
-
organization and maintenance of a large clinical database Support analysis for scientific presentations and quality improvement projects Present outcome data to other clinicians, collaborating sites, and at
-
analyse complex data from emerging genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven