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Specialist will be a member of the Department of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG
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of the three direction, each focusing on distinct but complementary areas of biomedical AI and data science: • Position 1: Postdoctoral Researcher in Medical Image Analysis (Pathology or Radiology) Duties
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the scientific coordination and integration of the project's activities. Responsibilities include: • Data synthesis and integration across spatial and temporal scales, combining experimental, ecological
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sustainability. Building on natural sciences and systems analysis, our interdisciplinary research connects technical and social sciences to address challenges such as climate change, energy transitions and land
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. Your team You will collaborate with GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modelling), spatial data
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
material strongly influences microbial viability, colonization efficiency, and spatial distribution in the root zone. A systematic evaluation of inoculum formulation, carrier materials, and ecological
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related fields to apply for this exciting opportunity in the Brown Group in collaboration with EDF UK to develop skills in agent based modelling spatial-analysis, optimisation and economic analysis, as
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with RNA-based assays, spatial transcriptomics, cryosectioning, or histology Basic computational or data analysis skills (e.g., R, Python, ImageJ/Fiji, MATLAB) Experience with plant care, genotyping, and
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp