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model, etc.). Additionally, the researcher will develop innovative chemical tools and probes to interrogate fundamental biologic processes and mechanism of action. In addition to high-quality research
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in community-based participatory research to develop community-based programs and educational models. We are dedicated to increasing equity, diversity, and inclusion across our academic programs
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–pathogen interaction models, immunological assays (including cytokine analysis, flow cytometry, ELISA, Western blotting, and immune signaling analysis), and/or omics-based methodologies (such as
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Climate Research Centre (SBiK-F), starting as of 01. April 2026: Doctoral or Postdoctoral Researcher (f/m/d) Global Vegetation and Biome Modelling (Full-Time / Part-Time options are available) Location
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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
on clinical use cases of interest, (b) building a tailored health-focused Arabic knowledge interactive language model through the development of benchmark datasets, evaluation frameworks, and specialized LLMs
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priority area of the University of Amsterdam is looking for a new PostDoc to amend our existing team (https://humane-ai.nl/ ). AI is everywhere. Chatbots, translation tools, shopping assistants, hyper
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are looking for a postdoctoral researcher to be based at the University of Minnesota to advance hydrologic modeling of low-relief, peatland-dominated watersheds. Specifically, we are looking to implement a new
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
the University of North Carolina at Chapel Hill. These appointments will be in the Institute's Center for Environmental Modeling and Policy Development (IE-CEMPD). The selected candidates will work with Dr. Sarav
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, metabolomic and genomic approaches, including on the single cell level, to understand how metabolites influence chromatin and gene expression in the brain. Further, we apply mouse behavioral models and in vitro