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, plasmid, gene editors and nanoparticle transduction of human cells. Preferred Qualifications: Preference will be given to applicants with a demonstrated expertise in developing scientific protocols
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, holidays, and more. To see what benefits are available, please visit: https://www.cu.edu/employee-services/benefits-wellness. Job Summary Our laboratory leads innovative, translational research that advances
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candidate to work on peptide-membrane interactions and the development of lipid nanoparticles (LNPs) for applications in both cancer therapy and the treatment of bacterial infections. The work will be
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). - Experience in metal (for exemple Cu) nanoparticle deposition methods - Strong knowledge in materials characterizations (XRD, Gaz physisorption, SEM, TEM, XPS, UV-Vis spectrometry) - Additional knowledge in gas
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well as in the study of hybrid formulations incorporating ZnO and TiO₂ nanoparticles. The work will involve the synthesis, separation, purification and characterisation of the materials and formulations
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The University of North Carolina at Greensboro | Greensboro, North Carolina | United States | 3 months ago
, diagnostic nanotechnology, gene therapy, and the study of nanoparticle interactions with biological systems, including micro physiological systems and tissue engineering. Candidates whose work can complement
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The Łukasiewicz Research Network – Krakow Institute of Technology (https://kit.lukasiewicz.gov.pl/ ) is a member of the Łukasiewicz Research Network (https://lukasiewicz.gov.pl/en/ ), one of the largest scientific
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). Description of PhD Project The work will include theoretical and experimental modeling of the response of magnetic nanoparticles in a magnetic field. In addition, mechanisms for potential therapeutic effects
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Number req26460 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department Location Tucson Campus Address
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gold–lipid nanoparticles for localized glioblastoma treatment, optimized through a Quality by Design approach supported by computational modeling. Following process and formulation optimization