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properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and used to establish such a
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Vacancies PhD Candidate Geospatial Risk Modelling for Climate Finance Key takeaways Effectively understanding and mitigating financial risks associated with climate change is important for
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models. In this work package, two PhD candidates (one at Wageningen University, one at Utrecht University) will focus on complementary modelling objectives. The candidates will partly work together. Data
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PhD Candidate! Future synthetic cells will require an optimised gene expression system, capable of reliable, well-controlled expression of hundreds of genes on a synthetic genome. However, we cannot
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented PHD-studenT iN NeuroAI of Developmental vision (m/f/x) Job description A PHD-studenT iN
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Vacancies PhD position on Assessing DNS Dependencies at Scale Key takeaways The Domain Name System (DNS) plays a central role in the Internet’s infrastructure. Its distributed nature has enabled
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localised economic gains. These contrasting findings highlight the current uncertainty surrounding the specific impacts of AMOC weakening on human societies. In this PhD project, you will use models and data
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. For this PhD position you will work on modelling the processes and feedbacks that couple the AMOC and polar ice sheets, with particular focus on sea ice and (North Atlantic) deep-water formation regions such as