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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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(PhD) or alternatively possess the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role(s). A2 A comprehensive and up-to-date
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metabolomics, specifically tissue and single-cell-based spatial metabolomics using advanced mass spectrometry techniques. This is a unique opportunity to contribute to an ambitious, multifaceted research
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of simulation-ready models. Experience with FEM/FDTD spatial discretization, geometry or voxel-model preparation, material-property assignment, and mesh/grid-quality assessment. Experience with Sim4Life, COMSOL
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mechanistically using an epithelial cell model. This interdisciplinary project provides training in developmental biology, bioinformatics, spatial transcriptomics, cell culture, imaging and molecular genetics
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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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automated data pipelines and flexible toolsets to support diverse microscopy-based research projects, including the integration of multimodal datasets (e. g., imaging, omics and spatial omics) Serve as the
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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analysis, cell-state and cell–cell communication analysis, and predictive modeling. Lead secondary projects involving single-cell RNA sequencing and spatial transcriptomics. Perform raw-data processing
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limited to, large language models and foundation models, single cell analysis, spatial transcriptomics, multi-omics analysis, cancer research, intelligent healthcare, and precision medicine. Required