-
scholars. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical
-
collaborate closely with CCMA faculty on cutting-edge research projects involving design, analysis and implementation of advanced numerical methods and algorithms in interdisciplinary applications. The position
-
Professor Alberto Bressan in the areas of hyperbolic conservation laws and geometric optimization problems. These include: well-posedness, convergence and error estimates for approximate solutions, analysis
-
will: Develop and utilize human iPSC-derived cardiomyocyte models. Apply genome-editing technologies, including CRISPR-based methods. Perform mechanistic studies integrating electrophysiology and
-
presenting at seminars and national conferences Assisting in lab management and supervision of junior members Developing new research methods and contributing to other projects in the lab Qualifications: Ph.D
-
/ Cellular Imaging: Candidates with hands-on experience in cryo-electron microscopy–based methods, including high-resolution single-particle reconstruction and/or cryo-electron tomography with FIB-SEM
-
. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze
-
are focused on Systems Biology, Epigenetic Gene Regulation, Single-Cell Genomics and Cancer Biology. Responsibilities for this position include data analysis, method development, scholarly activities and other