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leading the establishment of a centralized repository for genomic data and metadata, with a strong emphasis on existing and novel methods for the evaluation of genome quality, indexing and clustering
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and inference with cluster-dependence, high-dimensional parameters, or outliers. Other possibilities could be, for example, theory of bootstrap or nonparametric inference. For more information and
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the companies at Odense Havn and similar partners making large structures across Denmark and Europe. LSP is integrated with the Odense Robotics Cluster involving startups and established companies in robotics
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Robotics, which is at the core of the Odense Robotics Cluster involving Universal Robots, Mobile Industrial Robots (MIR) and 120+ other companies. We are a team of appr. 60 researchers and engineers
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. Research environment The candidate will be integrated in the section SDU Robotics, which is at the core of the Odense Robotics Cluster involving Universal Robots, Mobile Industrial Robots (MIR) and 120