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of Applied Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale
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particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required skills : We
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with a focus on next generation cancer immunotherapeutics. The candidate will support the lab in using multiparameter flow cytometry, high-throughput RNAseq, spatial transcriptomics, and other cutting
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machine learning models. ● Prior experience using spatially distributed hydrologic models, specifically those with snow mass and energy balance components Minimum Qualifications: Requires a minimum of a
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on spatial reasoning, semantic technologies and AI for geosciences. Where to apply Website https://www.academictransfer.com/en/jobs/356999/phd-semantic-modelling-of-geoda… Requirements Specific Requirements A
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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applications for a junior independent faculty position in computational biology, focusing on areas like spatial transcriptomics, 3D tissue architecture, cell-cell communication, with emphasis on characterizing
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and spatial biology Start date: 01/10/2026 The University of Liège is the biggest French-speaking public university in Belgium. It employs more than 5,700 staff members across four campuses, including
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analysis pipelines and to integrate imaging data into computational models. It is an opportunity to work with research groups across the Cell-Matrix Centre and the Bioimaging Facility. The appointee will be
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transcriptomics and spatial lipidomics to create quantitative models of immune-metabolic communication across tissues The project combines controlled mouse models of maternal inflammation with advanced multi-omics