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at www.mediafutures.no . About the project/work tasks: Key Responsibilities Conduct quantitative studies on user behavior by: Statistically analyzing datasets provided by MediaFutures' industry partners, including other
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. Conceptually, this includes data from a single experiment (regularization), across two experiments (registration), and for analyzing large datasets (statistical analysis and machine learning). This development
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programming (e.g., Python, Matlab, Fortran) is a requirement. Experience in statistical analysis of ocean/climate data (model output or observations) is an advantage. Experience from numerical modelling is an
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, Matlab, Fortran) is a requirement. Experience in statistical analysis of ocean/climate data (model output or observations) is an advantage. Experience from numerical modelling is an advantage. Applicants
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user studies to evaluate the technology developed employing statistical methods and will perform field tests with the industry partners to evaluate the technology’s impact. The work will be performed in
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at all levels within Late Iron Age archaeology in the Nordic countries, and at least one aspect of digital archaeology (e.g. GIS, statistics software, AI applications, 3D photogrammetry, database design
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techniques, DNA extraction, end-point and qPCR, sequence analyses, targeted sequencing, serological assays, antibody analyses, bioinformatics and statistical analyses, compiling results, and writing scientific
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within computer science or related fields (e.g., mathematics, statistics, medicine, life sciences with a strong emphasis on computational and programming aspects). or must have submitted his/her doctoral
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the Nordic countries, and at least one aspect of digital archaeology (e.g. GIS, statistics software, AI applications, 3D photogrammetry, database design). The appointed candidate will have the right and the
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Qualifications and personal qualities: Applicants must hold a Norwegian PhD or an equivalent degree within computer science or related fields (e.g., mathematics, statistics, medicine, life sciences with a strong