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machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life
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at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain
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in spoken and written English. Additional desirable qualifications Some experience with 'Big Data' or another complex data organization project will be preferred but not required if advanced coding
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algorithms for representation learning, uncertainty quantification, and model interpretability over large, heterogeneous datasets such as sequenced microbial DNA fragments coupled with auxiliary environmental
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work primarily within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct
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We are looking for two highly motivated computational postdocs for a 3-year position, to join the group of Prof. Ana Cvejic from the 15th of June 2025 or soon thereafter. Information
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image quality in time-resolved micro and nano CT data. Develop and apply numerical implementations in simulation studies as well as to large experimental micro and nano CT data. Explore multi-modality
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of meteorological phenomena impacting the wind energy sector, in particular with respect to wind resources and wind conditions. For example, investigating how large-scale wind farm clusters may impact atmospheric and
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with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological
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dual focus on method development and application on large-scale data sets, with the balance dependent on the candidates’ skills and interests. We have access to thousands of whole-genome-sequenced cell