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with five partners. The focus of the doctoral program is the analysis of the spatial and temporal variability of decontamination efficiency in different soil materials on a flow cell scale. The results
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International Max Planck Research School for Living Matter | Dortmund, Nordrhein Westfalen | Germany | 19 days ago
molecular biologists at the IMPRS-LM aim to dissect the spatial and temporal organization of biochemical networks in the cellular environment. The IMPRS-LM provides a unique graduate training program that
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. This research direction requires advancements in modern probabilistic tools, including spatial random graphs, random walks, and Markov chains. The position is hosted in the Leibniz Junior Research Group
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for immunological platforms such as flow cytometry, single-cell transcriptomics, spatial transcriptomics, metabolomics and proteomics, imaging, and in vivo work. Numerous interactions with other groups working in
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Model (RFM) for Germany by deriving and integrating detailed spatial information at the regional scale on flood protection structures (dikes, reservoirs etc.) across major river basins, enabling more
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chronic radiation effects. Complex DNA damage from ionizing radiation has a pivotal role for these outcomes. While much is known about spatial interactions of DNA lesions, less is understood about their
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. Spatial Transcriptomics: Application of Spatial Transcriptomics to new patient samples with the aim of validating the molecular signature of the cell populations identified by the AI using Giemsa morphology
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to model and analyse the intrinsic complexities of these systems. This research direction requires advancements in modern probabilistic tools, including spatial random graphs, random walks, and Markov chains
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of the Earth system at different temporal and spatial scales to improve predictive capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem
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architectures [5] and Neural ODEs [2], creating a cohesive end-to-end hydrological model. Transformers will be utilized to pre-process and analyse the raw input data, capturing essential spatial and temporal