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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
, we combine imaging mass spectrometry with digital pathology and computational data analysis. The PhD project "Computational Imaging Mass Spectrometry: Spatial Metabolomics, Spatial Exposomics, and
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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holographic information using natural and spatially incoherent light sources. However, the image quality of such systems is still limited by inaccurate models of incoherent light propagation and by the complex
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join the NWO-KIC project RISE – Resilient Integrated Systems for Ecosystem restoration as a PhD candidate. You will co-develop an interactive spatial decision-support framework for agrifood transitions
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under the supervision of Guillaume Schull within the framework of the ERC AETHER project, dedicated to the study of photo-induced phenomena in organic nanostructures at the ultimate spatial scale. The PhD
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for a: Reference Number 11542 Our section is working on the understanding of geodynamic processes operating inside the solid Earth and their surface manifestation at a broad range of spatial and temporal
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and from adaptive building to spatial dispersal policies) – feed through to interest rate premia for a country on the capital market, capital requirements for banks and insurers, the investment climate
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Politécnica de Madrid, aprobado en la UPM. Additional comments We are offering two fully funded PhD positions at the Technical University of Madrid (UPM) within the ERC CoG project “Scalable Spatial Sensing and
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photogrammetry now enable the digitisation of spatial environments across urban, natural and indoor settings. However, raw 3D observations generally remain largely unstructured and difficult to directly exploit
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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will