7 computational-modelling PhD positions at Duke University

  • Duke University | Durham, North Carolina | United States | about 5 hours ago

    motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing computational models of the immune response for multi-scale epidemic models. This position offers

  • Duke University | Durham, North Carolina | United States | about 5 hours ago

    inhalation exposures. We use in vitro, rodent, and non-rodent models to achieve our study objectives. We will employ various techniques/methods such as ELISA, multiplex MSD panel assays, flow cytometry, bulk

  • Duke University | Durham, North Carolina | United States | 8 days ago

    - and post-operative management and assessment of animals after transplant (micro)surgical procedures. Experience with mouse models of survival surgery is necessary. For appropriately qualified candidates

  • Duke University | Durham, North Carolina | United States | 2 months ago

    maps and model building. You should have a Ph.D. and have more than 2 years of experience in cryo-EM data processing and 3D map generation. You will work under the guidance of Dr. Maria Schumacher on a

  • Duke University | Durham, North Carolina | United States | about 1 month ago

    . in microbiology, immunology, systems biology, molecular biology, computational biology, or a related field. • Experience in one or more of the following areas: microbiome research, animal models

  • Duke University | Durham, North Carolina | United States | 2 months ago

    therapeutics will be tested in these models, such as vagus nerve stimulation and anti-inflammatory compounds. Some of these scientific questions will further address the complexity of innate immune signaling

  • Duke University | Durham, North Carolina | United States | about 1 month ago

    position is funded by multiple NIH projects, e.g.,   https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical

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