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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
biomolecules for treatments of neurological disorders, heart failure and cancers. Education and Experience: Candidates are expected to have strong publication record in biomolecular modeling and computational
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by Medical Research Council and is fixed-term for 30 months. This project seeks to harness recent progress to develop innovative human models that better replicate complex pain pathways. We will
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(SynComs) that model complex environments (e.g. the human gut), for host–microbe interaction studies. Key Responsibilities Design and execute experiments to study the role of exRNA in synthetic microbial
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workflows using the Model Context Protocol (MCP) to orchestrate data ingest and data movement across heterogeneous storage systems, including object stores. The postdoc will also engage with science
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Cardiac Centre. The Epelman Lab is seeking a highly motivated postdoctoral fellow to join our laboratory to study mechanisms of cardiovascular disease using integrative mouse models of multi-morbidity. Our
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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numerical modelling methodologies, including AI‑assisted surrogate models Designing and conducting impact experiments for model validation Developing research proposals and leading individual research
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& Responsibilities Plan, design and conduct advanced, multi-disciplinary research involving the use of mouse models, human tissue and blood samples. Use biochemical, cellular, molecular, and pharmacological approaches
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 days ago
for Demographic Research, Rostock This network focuses on “scientifically motivated engineering” to design, build, and test digital prototypes—such as machine learning models and large language models—that serve as
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uncertainty associated with high renewable penetration in a more systematic and effective way. Specific responsibilities may include: • Developing models (mathematical + software) of existing grid