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applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions to Applicants: For full consideration, applicants must apply for the Research Assistant Professor at https
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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, Department of Political and Administrative Sciences at the University of Potsdam invites applications for a joint professorship under the Jülich Model with the Leibniz Institute for Research on Society and
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for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim
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colleagues from FBMH. Areas of current research are novel dose delivery methods (FLASH therapy and spatially fractionated), imaging (using prompt photons and proton CT), high throughput radiobiology
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of geoinformation systems, cartographic production systems, image data processing and analysis, spatial modeling and animation, geoinformation database technology development and design of geoinformation
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 7 days ago
à utiliser l'eau présente dans les sols. Les sols forestiers présentant une forte hétérogénéité, il est très difficile de quantifier la variabilité spatiale et temporelle des stocks d'eau accessibles
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conditions. However, current global climate models (GCMs) lack the spatial resolution to capture these processes, while high-resolution regional models remain too computationally expensive for large ensemble
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, or probabilistic modeling, and be proficient in Python and modern machine-learning frameworks (ideally PyTorch). Experience with single-cell transcriptomics, epigenomics, proteomics, spatial omics, or multimodal
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and transcriptomics. Analyzes spatial transcriptomic datasets to uncover tissue organization and disease states. Develops integrative models combining genomics with pathology images or time-series data