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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 7 days ago
2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ANNOUNCEMENT
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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coherence and amplitude changes[3 ], but lacks spatial detail. This project aims to: fuse SAR’s cloud-independent indicators with ALDI’s high-precision outputs to deliver timely, reliable mapping. Objectives
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The position comes with access to high performance computing resources and access to training
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study Benefit duration One or more years Summary The Computing and Information Systems PhD Scholarship is offered to high achieving graduates of the University of Melbourne Master of Computer Science who
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attitude Fascination with multiscale organisation of biological systems and the complexity of the brain Experience in spatiotemporal dynamics and corresponding simulations (including high-performance
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development and integration of functional materials in real-world applications. Fundamentals of the microstructural development will be studied in detail to fabricate sustainable and high-performance functional
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high-resolution X-ray computed tomography, including in-situ tomography during mechanical testing. Thermomechanical testing across strain rates from quasi-static (10⁻³–10⁻¹ s⁻¹) to high strain rates (10
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, to characterize immune cell dynamics in murine models of inflammation and cancer. RESPONSIBILITIES: Developing and performing computer simulation of MRI contrast of labelled cells and tissue Labeling and tracking
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performance in fuel cell (biogas) and co-electrolysis applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under