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and antibiotic alternatives Testing candidate interventions using in vitro and in vivo challenge models to assess pathogen colonization and host immune function The postdoctoral fellow will work closely
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laboratory methods for potential translation to radiation oncology clinics; develops and tests molecular diagnostic assays in pre-clinical models and in specimens collected from human patients receiving
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well as a strong background in immunology, molecular biology, CRISPR-Cas9 gene editing, and flow cytometry for functional assays. Application: Please submit a curricular summary in the FAPESP model , a
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bioreactors. Responsibilities include downstream recovery (protein/lipid/metabolites), analytical characterization (HPLC/GC, metabolomics as needed), data analysis/modeling, and rigorous documentation for TEA
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provide a unique and multidisciplinary exposure to tumor metabolism, molecular oncology, drug development, and clinical trials. The Postdoctoral Associate performs scientific research and studies under
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Starting at 47,476 comensurate with experience Type of Position Temporary Position Time Status Full-Time Required Education Ph.D. with a strong background in microbiology, immunology, biochemistry, molecular
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-based models using a range of molecular biology techniques. You will be expected to optimise and troubleshoot new cellular and biochemical assays for testing developed bioactive compounds and take an
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. This position will contribute to mechanistic studies integrating electrophysiology, molecular biology, and advanced cellular models to advance translational cardiovascular science. Responsibilities
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
processes and how perturbations alter cellular programs. We utilize genetic mouse models for these studies along with molecular and physiological analyses. The applicant will interrogate kidney phenotypes
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
. Preferred Qualifications, Competencies, and Experience Programming skills (e.g., python, bash scripting, Fortran, C++ and CUDA), expertise in computational modeling (such as Deep Learning, Molecular Dynamics