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welcome to contact the person listed at the bottom of the job posting. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by
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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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time or other disturbances. If these problems remain unidentified, they can result in incorrect clinical decisions and poor patient management. In this PhD project, you will collect experimental data
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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building, task reallocation, skill demand, and productivity outcomes in China and Denmark. The expected design combines quantitative analysis (firm-level data, job postings, occupational task data, and
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in harbor, coastal or offshore test environments. The candidate will contribute to test planning, sensor calibration, data collection, control tuning and post-processing of field data. Performance
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levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish
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diagnostic expertise to more healthcare institutions maximize the utility of collected radiological data One of the major barriers to achieving this, is figuring out how to learn useful patterns in the data
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are very welcome to contact the person listed at the bottom of the job posting, who can provide further information about the project, the research environment and the recruitment process. Further