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nevertheless remain regarding the coupling of electromagnetic levitation with the use of a DC magnetic field. In particular, the effects of the intensity, orientation and spatial uniformity of the DC magnetic
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dioxide, heat, and energy. However, these systems operate at different spatial and temporal scales, making their interactions difficult to analyze with existing modelling approaches. Using this framework
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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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innovation science, system dynamics, spatial modeling, and ecology. The specific focus of this PhD project is biodiversity monitoring and biological pest control as an ecosystem service. You will study how
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to an international, interdisciplinary doctoral network. Excellent written and spoken English and strong scientific writing skills. Experience with EU biodiversity or sustainability policy, spatial modelling, social
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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
sound knowledge of statistics, machine learning, image analysis, or spatial data analysis The ability to assess algorithms and models not only from a technical perspective, but also in terms
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cloud-based geospatial analysis. Spatial visualization, mapping applications, and predictive ecological modeling. Applicants must possess a valid U.S. driver's license (or obtain one within 60 days
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offers the opportunity to work in a highly collaborative and interdisciplinary environment with access to cutting-edge technologies, including patient-derived glioblastoma models, spatial transcriptomics
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Professor Aldo Faisal from Imperial College London involved as international project partner. Research objectives and tasks You will contribute to the development and empirical validation of models