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will: Develop and utilize human iPSC-derived cardiomyocyte models. Apply genome-editing technologies, including CRISPR-based methods. Perform mechanistic studies integrating electrophysiology and
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/ 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
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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
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and contribute to grant development Present findings at laboratory meetings and national/international conferences Mentor graduate students and junior trainees as appropriate Required Qualifications PhD
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graduate students and research trainees as appropriate. Qualifications PhD, MD, or MD/PhD in cardiovascular biology, physiology, molecular biology, or a related field. Experience in patch-clamp
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holding a PhD degree in Biomedical Sciences or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible
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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
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of designing hypothesis-based experiments, executing studies, and preparing manuscripts. Requires a PhD in Biochemistry or related field; significant experience in molecular biology, biochemistry, and mouse
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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
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grant applications Participate in laboratory meetings, departmental research seminars, and multidisciplinary conferences Qualifications PhD, MD/PhD, or equivalent doctoral degree in molecular biology