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qualities required for such purposes. Digital terrain models will be used to efficiently map cultural remains under forest canopies. The second project (Mapping Natural Forests in Norway) focuses on mapping
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on optical transmission through falling snow and the models we have are inaccurate. By conducting experiments in Arctic weather over a longer period of time, at different geographic locations, we hope to build
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access. The goals of such access include supporting registry operations as well as health care research. Of particular interest in this context are differentially private algorithms for statistical model
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. For applications in the Arctic this means adapting the technology to the weather, and in particular precipitating snow. There has been very little research on optical transmission through falling snow and the models
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south of Oslo. via Unsplash Main responsibilities Development and testing of digital solutions for small forest owners. These solutions include Computer vision models and a digital assistant based on a
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selected countries Develop dynamic Markov models for economic evaluations and budget impact analyses Analyze the collected data and write manuscripts and publish economic evaluations on costs, cost
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Tanzania, Kenya, Uganda, Malawi, Mali etc. Oversee the collection of cost data related to malaria intervention from the provider and household perspectives in selected countries Develop dynamic Markov models
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noise models, with particular relevance to the practical constraints of the NISQ era. This position offers not only the opportunity to pursue and shape an independent research agenda but also the
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of environmental modulation on gametic and early developmental epigenome and epitranscriptome. The project uses next- and third-generation sequencing technologies to generate the data. Zebrafish is a model organism
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designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks