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performance of synthetic motors to molecular design principles and contribute to the development of the first generation of functional molecular machines. Your PhD project is embedded in a strong
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performing laser ablation mapping of cremated bone conducting high-precision ⁸⁷Sr/⁸⁶Sr and δ⁸⁸Sr analyses using TIMS and MC-ICP-MS developing and testing new approaches for Zn concentrations and isotope
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covariates (risk/prognostic factors, treatments). Your work will focus on developing statistical learning approaches that allow for high dimensional covariates and a non-linear dependence response
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meet our target by simplifying and adopting existing technologies. On many occasions, however, we start from a curiosity-driven hypothesis where applicability is a long term high-gain objective. To