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genetics, gene therapy, CRISPR-based gene editing, stem cell technologies, and translational disease modelling. We are particularly interested in developing treatments for retinal disorders prevalent in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
health, water and energy to help Carolina continue to be a leader in science innovation and the application of knowledge. APS has united numerous scientific entities on campus to further its mission
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an opportunity to contribute to an applied research program focused on electrochemical technologies for sustainable chemical production and energy conversion. You will combine hands-on experimentation with device
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. Main research lines Study of the “language” of chemical modifications in DNA and histones (epigenetics) and RNA (epitranscriptomics). Characterisation of multi-omic heterogeneity through single-cell
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methods that connect sensing, artificial intelligence, and decision-making for agricultural, food, biological, energy, environmental, and materials systems. The lab's core methodological focus includes
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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-saving research on vaccines and infectious diseases. The Tran Lab is seeking a motivated Postdoctoral Fellow. Primary Duties Develop human endothelial cell models for studying IgG recycling, catabolism
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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solutions that are relevant for the energy sector. In particular, you will be involved in the project MetNH3Energy, in the topic of Hydrogen storage and Transport using Ammonia and modelling in CFD on ammonia
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular