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the neurobiological interpretation of MRI- based metrics, we employ virtual histology (spatial correlation between gene expression and cortical phenotypes). To validate findings obtained in cohort studies, we use ex
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to cutting-edge research on spatial reasoning, semantic technologies, and interdisciplinary AI for geosciences and geography. Where to apply Website https://www.academictransfer.com/en/jobs/356998/phd-position
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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
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- Enthusiasm and interest in disease ecology - Experience with mathematical disease modelling, spatial and/or niche modeling, meta-analyses, and other quantitative analyses (especially if requesting remote
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) in AI for Equitable Disease Modelling to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders
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. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics of patient skin biopsies, and mechanistic
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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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research activities within the project "SPECOLA – Spatial Transcriptomics through the Lenses of Statistical Modeling and AI," funded by the European Research Council (ERC) under Grant Agreement No. 01171662
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, and the competitiveness of port cities. - Study the current and future territorial dynamics resulting from spatial planning instruments and the Strategic Plan of the Port of Lisbon, focusing on land use