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for iPSC cell culture, maintenance, methodology, and data analysis. You will contribute to team efforts related to stem cell biology, the development of new biological assays, and 3D cell culture on 3D
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for iPSC cell culture, maintenance, methodology, and data analysis. You will contribute to team efforts related to stem cell biology, the development of new biological assays, and 3D cell culture on 3D
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drug and gene delivery, tissue harvesting, and endpoint molecular and histopathological analysis – Proficiency in advanced microscopy and quantitative image analysis, including confocal, light-sheet
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CESM) and analysis of large observational datasets. Nitrogen oxides (NOx) emitted into the troposphere contribute to the formation of fine particulate matter (PM2.5) and ozone (O3). NOx thus plays a
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development, assembly, verification, and validation through simulation and experimental testing. The research engineer will also participate in the planning and execution of experiments, analysis of results
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, sampling, optical aberrations and refractive-index mismatching. ● Provide first-line support for image visualization, 3D reconstruction, quantification and analysis using open-source and commercial software
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, and transcytosis in the context of malaria immunology. Develop and optimize 2D and 3D endothelial-based assays to evaluate molecular modifiers of IgG handling and to investigate mechanisms
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involve the preparation of grant proposals. The research will focus primarily on the design and construction of novel mass spectrometer prototypes for the in situ analysis of extraterrestrial material
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-catenin pathway. The VASC-OPATH project proposes a translational strategy combining the analysis of paediatric samples with the functional validation of the identified molecular mechanisms in an innovative
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
tissue analysis. Your tasks Develop AI-driven virtual staining pipelines for the analysis of cancer tissue samples Design, train, and optimize generative AI models that transform unlabeled or 3D tissue