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responses using molecular biology, immunology, cell culture techniques and animal models. Job Description: Key Roles and Responsibilities: Perform research with undergraduate/graduate trainees and research
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will join a research group working on longitudinal models of multiple chronic diseases across the life course. The postdoctoral researcher will contribute to building and evaluating machine learning
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experience in pulmonary vascular disease or related areas, with demonstrated expertise in several of the following techniques: • Endothelial cell culture. • Animal models of cardiovascular diseases. • Western
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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data and applied to public datasets, e.g. Fermi-LAT and DESI. The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline. Position 1 — LSS forward modelling
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computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops, trainings
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design. The role will combine experimental plasma science with numerical modelling to understand and improve nitrogen fixation pathways, alongside the use of analytical chemistry methods to quantify
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will involve primary mouse and human stem cell sorting, multi-color flow cytometry, mouse disease models, human patient samples, 3D bone marrow organoid models, single-cell RNA-Sequencing, and general
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, development and interpretation of experiments using human cellular models, as well as the ability to work independently and make experimental decisions. Oral and written knowledge of both official languages
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026