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. Possible research directions include the generation of synthetic spatial point patterns representing health incidents and the development of privacy-preserving methods for visualizing health data. What you
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colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results
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colleagues in the group and external partners in Denmark and Europe. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results
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and external partners in Denmark and abroad. You will work with the design and execution test campaigns, the analysis and interpretation of data, and the dissemination of results in high-quality
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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information at our website http://www.cnap.hst.aau.dk If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further
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machine learning to rich molecular data and uncover the molecular basis of IBD. The successful candidate will build prediction models from high-dimensional molecular measurements, with a particular focus on
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as part of the ORBIT Consortium. Work duties (e.g., data collection) will take place mainly in Denmark, but may also include data collection and participation in meetings in Sweden, Norway, and Finland
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conduct local Danish data collection and perform collaborative and comparative analyses of the data. The following tasks will all be core activities: Conduct and analyse focus group interviews with Danish