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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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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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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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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
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characterization. Key Responsibilities: · Design and conduct experiments in electrochemical energy storage systems (e.g., Li-ion, Li metal batteries, beyond Li-ion batteries) and critical element extraction
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approximate tensor-network methods. Analytical skills with integrability, random-matrix theory, dual-unitary circuits, hydrodynamics, or field-theoretic methods are also beneficial. Please provide a CV and a
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computational modeling in precision medicine and personalized healthcare prediction. The postdoctoral position will work with Dr. Wenrui Hao to develop computational methods and build mathematical models related
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HSC Chemistry, JKSIMMet, or advanced modeling techniques like DEM (Discrete Element Method) and CFD (Computational Fluid Dynamics) is advantageous. Excellent communication skills, demonstrated research
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structure and function of cellular RNA polymerase transcription complexes using cryo-electron microscopy, biophysics, and biochemical methods. Applicants must hold a PhD in biochemistry, biophysics