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position of 0,8 FTE. You will work in a dynamic environment with a diversity of computer systems, from dedicated workstations for numerical simulations to lab computers for data collection. Your duties and
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Global Nutrition runs several smaller and larger research projects, from PhD projects to larger research projects financed by the EU or CGIAR in collaboration with many partners, both globally and from
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in relation to short- and long-term health outcomes. To study these high-dimensional and complex data, you will apply state-of-the-art data-analytical techniques, such as machine learning methods
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