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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data
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expansion and is investing in the development of advanced methods for the integrated analysis of biological systems. We are now recruiting three bioinformaticians specializing within the field of spatial
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, imaginative, spatial, and temporal infrastructure for “what is yet to come.” Where to apply Website https://pica.cineca.it/luiss/art22-acf-07-2025/domande Requirements Additional Information Eligibility
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existing stable isotope facility. The Department of Earth Sciences at the University of Delaware houses a state-of-the-art stable isotope laboratory (https://sites.udel.edu/eis-lab/ ) equipped with advanced
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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work with data obtained from omics studies with spatial resolution. They will lead the analysis and plan functional studies derived from them. It is expected that the analysis of the data, together
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 29 days ago
or related fields; – Be enrolled in a master's degree or integrated master's degree in Geography or related fields; – Have experience in the use of GIS and Spatial Modeling; – Immediate availability
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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the context of rapid and unprecedented global urbanisation affecting the Baltic region of Europe, conventional approaches to spatial analysis for urban planning and governance are no longer adequate
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on integrated analysis of omics data, including RNA sequencing, spatial proteomics, digital pathology, and gene expression profiles, from various cohorts of patients with ovarian tumors. The work aims