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plan: - Stage 1: Support in the structural characterization and physicochemical properties and reactivity of complexes derived from chelating systems by means of DFT or more sophisticated computational
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disease mechanisms and gain new insights into pathophysiology. Designing and applying advanced bioengineering tools, such as lab-on-a-chip and microfluidic devices, to study neuronal networks and model
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of this annex, as well as to: Programming in Python and R. Statistical classification and machine learning methods: SVM, neural networks and logistic regression. 3.2. Qualification: Official Master’s degree in
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the framework of the project entitled: “Developing COMPLEX Human ORGganoids to Model and Target Genetic and Systemic Conditions during Congenital Anomalies Of The Kidney And Urinary Tract” (COMPLEXORG