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archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx and SPIDER, as well as future experiments like LiteBIRD and FOSSIL. We have a large
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from Earth System Models is a requirement, as is experience working with large observational data sets. Any experience with NorESM would be highly advantageous. A strong background within the area of
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. Fluent oral and written communication skills in English and ideally also a Scandinavian language. Desired qualifications: Strong programming skills Experience with handling large data sets Experience with
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to do joint end-to-end analysis of a wide range of cosmological datasets, including archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx
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distributed data processing approaches to address issues of incomplete or redundant multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will
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well as data analysis of large-scale registry data comparing mutation carriers to non-carriers. The aim of the project is to generate novel insights into human endogenous opioid function. The project offers
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position We are offering 1-2 PhD positions with specialisation in either comparative politics, political data science, or public administration. The successful applicant(s) will be part of the research
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, including archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx and SPIDER, as well as future experiments like LiteBIRD and FOSSIL. We have a
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Postdoctoral Fellows (SKO 1352) positions with specialisation in either comparative politics, political data science, or public administration. We are looking for an excellent candidate with the potential
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specialisation in either comparative politics, political data science, or public administration. The successful applicant(s) will be part of the research project “Governing elites since the dawn of modern