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Field
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for realizing X-ray phase-contrast imaging on a table-top scale. Key responsibilities include: Developing theoretical and numerical frameworks in free-electron-driven X-ray nanophotonics– i.e., modeling
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About the Role The School of Mathematics and Physics at Queen’s University Belfast is seeking a Research Fellow to undertake research to model irradiation of biological molecules in the presence
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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of these fractures and/or faults from acoustic and/or strain measurements. Key Responsibilities: Design, develop, and set up experimental systems for novel fracturing and faulting modeling Conduct advanced numerical
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interdisciplinary team of biologists and engineers to leverage in vitro organ-on-a-chip (Organ Chip) microfluidic culture systems and injectable formulations to study and model adaptive immunity in female
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with demonstrated ability to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph
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research teams. Responsibilities: Develop and apply AI-assisted weather and climate models with high spatial and temporal resolution. Integrate remote sensing, observational, and numerical model datasets
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numerical models to quantify how hydrodynamic forcing influences sediment transport, sediment carbon retention, and blue carbon accretion in Singapore’s mangrove and seagrass habitats. The work will involve
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on developing AI algorithms (especially for training) aimed at post-digital hardware. Specifically, the project targets numerical and local learning algorithms beyond backpropagation. Key Responsibilities
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will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can