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; and spatialization tools. “Technical Networks and the Digitalization of Territory in Favelas” Project – Knowledge of Network and Flow Analysis, Territorial Planning, Human and Economic Geography
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biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and scientific publishing. Required Qualifications: 1. A doctoral degree (PhD, MD
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certain type of treatment, with potential impact in clinical practice and cancer research. This position is linked to the project BIOEURECA:Next-gen biomarker discovery: foundation models for tissue spatial
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analysis, time-series modelling, clinical prediction, risk modelling, survival analysis, causal inference, spatio-temporal modelling, or multimodal data integration. The candidate should be motivated by
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(Midavaine et al., Science, 2025). Building on this foundation, the lab combines mouse genetics, single-cell and spatial transcriptomics, in vivo calcium imaging, sensory behavioral assays, and molecular
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, topological data analysis, spatial statistics, and computational statistics). Learn more about the Department of Mathematical Sciences here . The Department of Clinical Medicine provides research-based teaching
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The post holder will undertake interdisciplinary research at the interface of environmental science, spatial data analysis, and climate communication. They will contribute to the collection, analysis and
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The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of spatial biology as per 1 October 2026 or as soon as possible
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of data from geoparks in Brazil, Chile, and Mexico; the consolidation of an international database; fieldwork execution; and the analysis of spatial, documentary, and institutional risk management data
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
mechanisms governing transcriptional regulation and their dysregulation in cancer. Our long-term goal is to understand how the spatial organization of transcriptional regulators influences gene expression