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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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approaches for the analysis of omics, digital, and molecular pathology data, to support precision medicine. We work with real-world data in a highly interdisciplinary environment fostering translational
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-GEA), and aims to develop a framework to characterize the resilience of the Earth System in the Anthropocene, exploring stability landscapes of the whole planetary system and its critical geophysical
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-GEA), and aims to develop a framework to characterize the resilience of the Earth System in the Anthropocene, exploring stability landscapes of the whole planetary system and its critical geophysical
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represents a unique opportunity to pioneer the development of organ-on-a-chip systems that link tumor microenvironments with immunological tissues, addressing this critical knowledge gap in vaccine development
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, trauma and history are entangled. Job description: In close coordination with the project management and the other project staff, the computer-assisted analysis of interviews with Holocaust survivors will
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 3 days ago
vivo models of PD Apply and further develop methodologies such as disease modeling, virus-mediated gene delivery, behavior, immunohistochemistry, tissue clearing and 3D imaging, image analysis, spatial
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and functional changes in the heart and liver in animal experiments Isolation and analysis of primary liver and heart muscle cells from mice Preparation of tissue sections (liver and heart) using a
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. Project Objectives 1. Observational studies of AGN jet geometry, collimation and acceleration: Measurements of jet shapes from parsec-scale images. Multi-year kinematics and model analysis to probe
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group (https://bckrlab.org). We focus on high impact applications and work on knowledge-centric AI and biomedical machine learning including multi-omics integration, single cell analysis, and sequential