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whether enhancing ChemR23-driven anti-inflammatory pathways can attenuate vascular inflammation and disease progression. Eligible candidates should have experience with mouse models, immunological and
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Development of an AI-driven generative 3D modeling framework". The main
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location: Rostock Deadline: 17.03.2026 Join the Cluster of Excellence “BlueMat: Water-Driven Materials” (www.tuhh.de/bluemat ) and contribute to one of Europe’s most exciting research initiatives
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cancer. Work in the lab utilizes both genetically engineered mouse models and in vitro systems. A combination of state-of-the-art surgical, genetic, cellular, biochemical, imaging, and metabolic flux
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing or large-scale simulations Interest in close collaboration with experimental researchers
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models. Good communication skills in English. Strong ability to work collaboratively. Great emphasis will be placed on personal qualities. We are looking for someone who is driven, curious, and responsible
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH
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identification and resolution through data collection, upgrade reports and interpretation. Collaborates with others to create, analyze and interpret reports to make data driven recommendations to leadership
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prototyping and digital twin development of industrial manipulators. Model-based and data-driven approaches for the motion accuracy optimization of advanced mechatronic systems. Mechatronic optimization
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and domain adaptation for data-scarce regions and integration of weather, mobility, and socioeconomic data for predictive modeling. Distributed infrastructure resource management, including data-driven