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, tailored, complex materials such as advanced polymers or polymeric formulations, catalysts, mechatronic devices and software and algorithms. Design, control and modelling and analyses complement
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nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative agriculture with 1000 farmers. The aim is to make regenerative agriculture
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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) Establish LCI models for the port call process Evaluate existing marine impact categories, and develop novel cause-effect pathways for marine impacts Establish probabilistic inventories for prospective LCA
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data is lacking. With the DataLibra project, we aim to close this gap, by developing AI models and tools for structured data (Table Representation Learning), to help organizations, of any size, domain
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network in adversarial situations? How to model the military supply logistics concepts taking into account adversarial actions? What are optimal and robust network topologies for a supply logistics concept
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of limited value. An eHTA requires building a health-economic model and scenario analyses, which will help determine the plausible range of health improvements and cost consequences. As more data become
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for delta adaptation and development under uncertain changing conditions? How can we sequence measures that are made in different regions, e.g. using modelling tools? What is the timing of decisions and what
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36-hour week. Lots of options when it comes to secondary employment conditions; we can, for example, discuss options for a sabbatical or paid parental leave. Within our terms of employment individual