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imagery). Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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to develop an innovative, non-invasive strategy to focus light deep within biological tissues and other scattering media, achieving high penetration depth and speed while preserving micrometric spatial
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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies
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Description: Design and Implement Hybrid Data Architecture: Evaluate, configure, and manage cloud-native data warehouses for scalable spatial analytics Design data flows from warehouse to spatial databases
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at larger spatial units. You will work with established field experiments and full-scale facilities already established by farmers in various locations throughout Denmark and the boreal region of Europe. You
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at larger spatial units. You will work with established field experiments and full-scale facilities already established by farmers in various locations throughout Denmark and the boreal region of Europe. You
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postdoctoral scholars, working on the development of a core, scalable methodology. This methodology leverages existing spatial data on landscapes, fire behavior, and fuel treatments to evaluate real-world
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required to produce maps and perform simple spatial analysis for other members of the project. They will be involved in publications, with opportunities as both a first and co-author, and will also engage in
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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies