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Field
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
many conditions governing microstructural evolution and defect formation, yet the physics linking process conditions to three-dimensional defect distribution in engineering-scale geometries remains
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explore how salt distribution, structure formation, water management, and flavour release interact during processing, cooking, and consumption. Using advanced characterisation tools alongside sensory and
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can read more about the department at www.es.aau.dk . Your work tasks Media distribution is undergoing radical transformations from dedicated infrastructures (e.g. DAB, FM and DVB-T) to IP based
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configurations (residential, commercial, mixed-use) and their interactions with distribution grids Assessing how renewable integration, storage technologies, and demand flexibility affect system performance
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monitoring bioelectrochemical reactors - mapping microbial distributions across reactor niches - functional omics and targeted assays for key taxa/functions - establish standards of practice in
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(4DSTEM). This approach will combine three-dimensional charge distribution data, generated through atomistic simulations, with machine-learning-driven modelling to guide and refine the phase reconstruction
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scenario; Develop a novel self-calibrating, heterogeneous distributed platform capable of providing the necessary sensing, transport, compute and data aggregation capabilities on demand. Consider how partial
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research and applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 2 months ago
antimicrobial resistance (AMR) genes are distributed via dust particles in and around agricultural facilities. This interdisciplinary project is conducted in close collaboration with partners at the Robert Koch
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, many existing methods lack robustness guarantees and can behave unpredictably when faced with model mismatch, uncertainty, or distribution shift. This project is motivated by the need for deployable