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preprocessing impact model performance. Results will support more efficient experimental design and smarter manufacturing control. Career Readiness Competencies: Communication Critical Thinking Technology
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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance
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The Faculty of Arts is internationally leading for its research (https://www.arts.kuleuven.be/english/research ), home to a broad array of specializations and notable for the strong connection it
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(CALS), and our management and staff are committed to upholding the highest standards of ethics and excellence across all aspects of our work. This position will be based in the K. Lisa Yang Center
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
and computational in nature and include: Developing physics-based, deformable cell models of glioblastoma invasion that incorporate nuclear and cytoskeletal mechanics Applying active-matter theory
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': https://wellcome.org/research-funding/funding-portfolio/funded-grants/control-without-closure-school-level-approaches The contact study aims to improve our understanding of how and where school pupils
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neuronal network dynamics control state transitions and the organization of behavior. The scientific focus of our group is the investigation of large-scale neuronal network dynamics in the model organisms
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27th April 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
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technologies and the immune response in traumatic injury and surgical sepsis, with experimental approach on animal models, cell culture and patient-based samples. Minimum Requirements: Work requires a bachelor’s
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
probability, fire intensity) under varying weather scenarios. The project will further explore how these simulation-derived metrics can enhance EO-based foundation models for wildfire risk assessment