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of groundwater-model concepts and parameters, calibration, sensitivity analysis, scenario analysis and uncertainty assessment. Programming and data-analysis skills in a reproducible scientific workflow
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research and the critical analysis and contextualisation of primary sources from social movements, alternative media organisations, intellectuals and other relevant actors. You will examine how democratic
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: select and co-develop indicators and methods to assessing circular transition pathways and systemic change across environmental, economic and social dimensions; apply approaches like network analysis and
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integrates molecular biology, glycomics, and biochemical analysis to understand influenza attachment and tropism. We are a collaborative group that values complementary expertise and interdisciplinary training.
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-Learn data generated by NOAH partners; develop a generative ARCA component, exploring autoencoder- and/or diffusion-based approaches for generating ecologically plausible microbiome configurations; apply
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data generated by NOAH partners; • develop a generative ARCA component, exploring autoencoder- and/or diffusion-based approaches for generating ecologically plausible microbiome configurations; • apply
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versioned analysis-ready datasets without compromising source-data integrity; maintaining reproducible construct reports with descriptive statistics, scale reliability, tables, figures, and transparent
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research and the critical analysis and contextualisation of primary sources from social movements, alternative media organisations, intellectuals and other relevant actors. You will examine how democratic
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, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration between the National Health Care
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management