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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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: Engineering Hydrogen-Resistant Circular Steels (CIRHY)" which is a 6-year research and innovation project developing next-generation circular steels that can safely operate in hydrogen environments. By
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for the current climate is developed using hydraulic models. These scenarios describe the consequences of a flood in terms of flood depth, flood extend, economic damage and loss of life. These scenarios
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use
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and disease development after infection with Phytophthora or Ralstonia . You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Integrated optics is currently experiencing unprecedented growth, driven
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(e.g., taxonomy, evolution, ecology, and geology). You will receive dedicated supervision from an experienced researcher and work closely with several international experts and collaborators with whom
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and economic use of renewable electricity without an unnecessary discarding of generated power. This four year’s PhD position is aimed at developing multiphase models to predict the dynamics and
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the project "Circularity as Opportunity: Engineering Hydrogen-Resistant Circular Steels (CIRHY)", a 6-year research and innovation programme developing next-generation circular steels that can safely operate in
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actors involved. Positioned at the intersection of behavioural science, agricultural economics, and agricultural systems modelling, this PhD project will contribute to the development of modelling tools