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developing mathematical modelling and observational data analysis using high spatial, temporal and spectral resolution state-of-the-art solar telescopes (e.g. SST and/or the 4m aperture DKIST). There is also
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troubleshoot as required Expertise and Specialization: Apply molecular biology skills to perform Next Generation Sequencing (NGS) library preparation, single cell analysis, spatial transcriptomics and other
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completion of project deliverables including but not limited to; the preparation of mapping documents, data formatting, and performing advanced GIS analysis. Using GIS tools, geometry types and spatial
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spatial resolution. The generated meshes are expected to be tested in different FEM solvers and demonstrated in the structural analysis of existing and novel UAVs. To meet the goals proposed, the work
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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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biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models
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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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-resolution microscopy with genome editing and advanced image analysis, we systematically assess how these methods can reveal disease-associated cellular phenotypes at unprecedented spatial resolution. Working
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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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. 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