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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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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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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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investigates diagnostics and treatment for patients with an acute cerebral infarction or cerebral haemorrhage. This vacancy focuses on developing organisational models for acute neurovascular disorders
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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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with other bioprinting techniques (including volumetric bioprinting and melt electrowriting). You will use this versatile set-up to produce complex 3D tissues as advanced in vitro models for cardiac and
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to commence at the earliest possible date and no later than September 2025. The project focuses on establishing rigorous mathematical results for random (geometric) graphs, as well as on modeling realistic real
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or showing willingness to learn machine learning models Having interest in stakeholder engagement Desired knowledge of Nature-based Solutions, especially in agriculture and developing country contexts
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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