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. Lead and conduct research projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data
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projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
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. In addition, tensile testing, dynamic mechanical analysis, nanonindentation and atomic force mircroscopy will be used to characterize the mechanical properties of (doped) conjugated polymers. You will
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your application: Experience in nanotechnology (cleanroom) Experience in measurement, design or analysis of integrated photonic devices Knowledge of specific software tools in photonic integration
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Electrical Engineering, Engineering Physics, Applied Mathematics, Computer Science, Communications or similar. Strong background in mathematical analysis (multivariable calculus, probability, linear systems