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– are produced, governed, and spatially distributed. The project conceptualizes urban expulsion regimes as the dynamic interplay between state policies, housing market regulations, public discourses, and the
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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the sensitivity of our new measurements to pathology (e.g., neurodegeneration, vascular injury) in post-mortem human brain samples. Acquire MRI data of healthy volunteers and study the distribution of cortical
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scientific publication. Eligibility criteria The maximum score in the evaluation process is 100 points, distributed according to the following criteria: 1. Research and/or Professional Experience – Maximum 30
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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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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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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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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