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). The successful candidate will continue the development of an existing systems biology model of articular cartilage regulation in healthy and osteoarthritic knee joints. The spatial mapping of cell-cell
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these processes. The work integrates human cell-based models, advanced 3D multicellular systems, molecular and functional characterization, and omics-based approaches to investigate mechanisms of cardiovascular
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Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and
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the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen storage, downstream processes
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of Chicago. The Institute's activities include the following: string theory and theoretical high-energy physics, experimental high-energy physics, theoretical astrophysics and cosmology, experimental particle
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
of energy models and life cycles cost analysis. Works closely with the Facilities Engineering section to coordinate design guidelines to capture energy conservation targets and best practices, and provides
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Università degli Studi di Roma Tor Vergata - Dipartimento di Medicina Sperimentale | Italy | 3 days ago
involves managing and executing in vivo and ex vivo experimental protocols dedicated to analyzing the immune response. Responsibilities include handling and treating animal models to perform specific
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(further funding will be applied for) and focuses on power systems engineering in the context of the next phase of Iceland’s energy transition. It builds directly on established modeling work at Reykjavík
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to develop three-dimensional scaffolds that reproduce the extracellular environment of the intestine in order to improve preclinical models for drug absorption studies, toxicity testing and cell–matrix
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/ Population-scale multiome immune cell atlas reveals complex disease drivers https://www.medrxiv.org/content/10.1101/2025.11.25.25340489v1 A structure-informed deep learning framework for modeling TCR-peptide