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hampered by uncertainties about viable business models and reward structures. Your job This postdoctoral position is part of ReGeNL , a large national inter- and transdisciplinary research programme aimed
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related to staff position within a Research Infrastructure? No Offer Description POSTDOC IN DIGITAL PATHOLOGY Therapy-response prediction using spatial biology THE GROUP: The candidate will be part of
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to colon cancer progression. The postdoctoral researcher will use a transgenic inducible colon cancer mouse model and organoids derived from this model. They will use various histology, molecular biology and
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policy, urban planning, data science, environmental science, or a related field. • Strong quantitative skills in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium
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the social and environmental implications of proximity models, combining spatial, mobility and socioeconomic data to develop indicators and tools for the toolkit. The candidate will also assume coordination
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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks
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are invited for a Postdoctoral Researcher position in data analytics and spatial decision support systems. The goal of the project is to develop an aeromedical dispatch management software as a technology hub
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-seq, ATAC-seq, spatial transcriptomics, …) into modeling and develop efficient data/training pipelines Drive application cases with Helmholtz Munich, MDC Berlin, and NVIDIA—for example, disease modeling
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skills (one or more of the following strongly desired) Exploratory analysis of massive datasets (machine learning methods) Spatial data analysis and Geographic Information Systems (GIS) Forecasting and
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-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials