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atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible computational workflows, collaborate with
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Are you interested in advanced rheological characterization, microstructure analysis, and modelling of complex food systems? In this postdoctoral project, you will combine fundamental science with
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, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be employed in the study. Successful applicants will be a highly motivated individual with a recent
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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operation. Translate device concepts into CAD models and engineering drawings, and coordinate component fabrication, procurement and assembly as required. Analyse and interpret experimental data, maintain
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Institute). The position is initially fixed term for 36 months, working on modelling aircraft engine icing and analysing experimental test results in collaboration with Rolls-Royce plc. In this post you will
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in crop modeling, remote sensing, and geospatial
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close