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, communicates with the developing brain and responds to maternal immune activation. The successful candidate will lead the computational analysis of large-scale single-cell and spatial multi-omic datasets
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public access. Data analysis responsibilities will focus on the analytical efforts, both spatial and statistical, needed to develop new and potentially innovative datasets that provide insight
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past datasets within the URBank (https://urbank.earth ) initiative. The full-time position will be for a period of 3 years, with the possibility of a 1-year extension, and based in Jena, Germany. The
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access to: Generous start-up packages and laboratory space in the new O’Donnell Biomedical Research Building Advanced imaging and data analysis resources, including two-photon and light-sheet microscopy
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Engineering in general (Spatial/environmental statistics, geographic information systems, big data analysis and utilization, information sensing, sensor fusion/integration, intelligent transportation systems
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may include spatial multiplex immunofluorescence, single cell transcriptomics, high-throughput drug screening assays, CRISPR-based approaches, in vitro tumor models, and biomedical data analysis
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or expand include: metabolism (spatial-biology, metabolomics, metabolic flux analysis, and artificial intelligence), structural biochemistry (macromolecular structure using cryo-EM, X-ray crystallography, and
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analysis, such as hierarchical machine learning or artificial intelligence. This project will provide new insights into the proteome structure and proteostasis. Where to apply Website https://ibb.edu.pl/en
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sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics) – including aspects of informatics and advanced data analysis. You will be responsible
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). This would be expected to include independently performing experiments utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited