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function and structure using a range of sequence analysis and comparative genomic methods. The projects will also involve programming for data collection and analysis. As a PhD student, you will screen
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candidate will investigate cutting-edge approaches in data collection, analysis, and simulation that can predict and enhance the efficiency of regenerative strategies. This includes exploring
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doctoral researchers in the network will be able to participate in the data collection phase and in the data analysis phase. In addition to its scientific value, this study will constitute a hands-on
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on understanding how these technologies can reduce decision-making uncertainty, optimize operational efficiency, and enable organizations to navigate complex systems and potential disruptions effectively
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in laboratory/pilot environment and groundwater settings, model-based data analysis, presenting results in scientific conferences, and writing of scientific manuscripts, to which the doctoral thesis is
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and especially regression-based models, such as linear regression or structural equation modelling. Furthermore, qualitative comparative analysis (QCA) and machine learning approaches could be applied
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interdisciplinarity, as it allows you to expand your research network and exposes you to new perspectives and ideas to solve complex research problems and pursue novel research findings. We are strongly committed