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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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-surface interactions, analysis of spatial energy distributions, and determination of impacts of pulse characteristics on accuracy and surface quality. Expected outcomes include reliable ablation datasets
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
tissues and organs as spatially organized metabolic and chemical landscapes using imaging mass spectrometry. The PhD project combines spatial metabolomics, spatial exposomics, and tissue morphology
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, computational analysis, and laboratory research, as well as data compilation, it connects observations from the deep past to present planning and future predictions and explores urbanisation as a non-linear
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proton mini beam radiation therapy (pMBRT). Within the framework of the research project PIANOFORTE-PRESTO (PRotontherapy Enhancement by Spatially Fractionated Treatment Optimization) we are offering a PhD
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Image analysis of spatial organization, viability, signaling, and dynamics Development of structure–function–behavior maps for biohybrid communities 4. Therapies and applications: Adaptive and homeostatic
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantitative Analysis of Carrier Dynamics in Operando Photovoltaic Devices Using Analytical Electron Microscopy
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methods. Ion beam analysis (IBA) offers a new method for quantifying Li with spatial resolution; in this technique, high-energy ions (> 2 MeV) are fired at the battery samples, triggering a nuclear fusion
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from aquatic sediments represent a major uncertainty in the global carbon cycle. This project seeks to advance our mechanistic understanding of methane gas dynamics across multiple spatial scales by
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-cell imaging, multi-omics profiling such as transcriptomics, proteomics, and metabolomics, single-cell and spatial analyses, multiplex biomarker quantification, functional studies, machine learning