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pioneered B-cell epitope peptide vaccines targeting immune checkpoint molecules and oncogenic growth factor receptors and is advancing novel multivalent and multispecific vaccine platforms toward clinical
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, the candidate will work in the Andrea Hevener Lab and conduct basic science research, including studies on genetically engineered mouse models and cell lines. Candidates must have experience visualizing and
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support predoctoral researchers in developing an original research and innovation project through international mobility. DETECTIVE (Data driven Excellence in Training of Epidemiological, Clinical
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developing an original research and innovation project through international mobility. DETECTIVE (Data driven Excellence in Training of Epidemiological, Clinical, Technological and Innovative Virus Experts) is
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research on the use of lipid-based carriers and assessing their effects on model and biological cell membranes Selection process Required documents: Curriculum Vitae (CV); Cover letter; Two reference letters
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to work weekends to support Open Days and to maintain cell culture lines. Please note that due to Home Office visa requirements, this role is not suitable for first-time Skilled Worker visa applicants
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a team. You may be required to work weekends to support Open Days and to maintain cell culture lines. Please note that due to Home Office visa requirements, this role is not suitable for first-time
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via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/system-engineer-cell-culture-automat… Requirements
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the Department About the Division The Division of Biostatistics and Health Data Science (https://www.sph.umn.edu/academics/divisions/biostatistics/ ) currently includes 31 faculty members and 50 staff
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 37 minutes ago
skilled at mammalian cell culture; microfluidic device fabrication and implementation; designing experimental protocols; identifying the necessary resources; acquiring, processing, and interpreting data