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Field
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. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway
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resistance emerge through different spatial, temporal, and stratigraphic scales, and how these processes can be understood in relation to the geologies, materialities, and power relations through which
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
lightsheet and/or expansion microscopy) with the aim of discerning the intricate spatial organization of BCMA and GPRC5D antigens on MM cell membranes when treated with traditional and bispecific mAbs, with
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tissue formation, and limited spatial precision. Building on our recent advances in enzyme-triggered electrode fabrication in living systems (Strakosas et al., Science, 2023, https://doi.org/10.1126
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, documents, and other evidential materials. Hyperspectral imaging combines spectroscopy and imaging to provide detailed spatial and chemical information with high resolution. In this project, you will
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with regard to both spatial and temporal evolution. • Investigate mechanisms controlling radionuclide retention and transport in cementitious and geological materials. • Assess the influence
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nanoscience, materials research, semiconductor manufacturing, and the life sciences. Despite its wide applications and accessibility, the highest spatial resolution is still obtained through transmission
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engineered and natural environments relevant for nuclear waste management with regard to both spatial and temporal evolution. • Investigate mechanisms controlling radionuclide retention and transport in
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2025 Implementing new technology for non-invasive studies of birdsong in group social interactions Andrés Viñas Martínez University of Groningen Unravelling the cognitive toolkit of meerkats’ spatial
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for efficiency monitoring and fault detection, combining sensor data, system layout knowledge, and physical principles to extract spatial-temporal features and predict equipment behaviour; 2) Statistical anomaly