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Field
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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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-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
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cell biological and biophysical characterization of various alpha-synuclein aggregates/oligomers found in vivo (Mouse models and human tissue) that can induce neuropathology/neurodegeneration. 1
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integration, where chips are stacked and interconnected to create faster, more compact and more energy-efficient semiconductor devices. However, the detailed mechanisms that determine bonding quality are still
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interest in spinal cord injury, neural repair, neuroinflammation, or related areas of neuroscience Preferred Experience with animal models and/or cell culture. Experience with spinal cord injury (SCI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
, polymers, hydrogels, and wearable and implantable biosensors. Experienced in applying these materials to three-dimensional (3D) cell culture models and translational diagnostics or similar. Preferred
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editing, high-throughput CRISPRko/i/a screening, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically