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supercapacitors, Nano porous materials, Microfluidic-based biosensors, Nano-electrocatalysts - Energy nanomaterials, Biomaterials and their biomedical applications, High-throughput screening, Carbohydrates
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instrument design/prototyping. Knowledge of microfluidic device design highly desirable. Knowledge of aerosol sampling, particle characterization, or biosensing methods advantageous. Excellent organizational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
microfluidic organs-on-chip and will involve working closely with postdoctoral fellows in the Lampe Joint Department of Biomedical Engineering and students and postdocs from the Eshleman School of Pharmacy
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to identify novel drugs for repurposing as ALS therapeutics. We also generated a microfluidic device enabling the study of axonal RNP granules as well as the functionality of neuromuscular junctions. Here, we
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) formulation, microfluidic encapsulation, or targeted delivery strategies. Knowledge of in vivo imaging techniques and pharmacokinetic analysis. Background in cancer biology or RNA therapeutics development
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-precipitation, hydrothermal, thermal decomposition, ball milling), as well as “advanced” methodologies (e.g., microfluidics, in-flow); Knowledge on Quality and Safe-by-Design principles applied to the fabrication
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for live-cell imaging of RNP granules, facilitating compound screening to identify novel drugs for repurposing as ALS therapeutics. We also generated a microfluidic device enabling the study of axonal RNP
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UTHSC Translational Science Research Building (http://www.uthsc.edu/pharmacology), which also houses researchers from the Departments of Physiology, and of Genetics, Genomics and Informatics. The
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microfluidics to improve the efficiency and precision of molecular assays. POSITION PURPOSE The research project aims to optimize and automate the fabrication of polony gel arrays for use in spatial
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editing and real time super-resolution imaging to the use of microfluidic devices and the development of deep learning segmentation tools. For their studies, the Conradt group uses the nematode