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computer programming language is expected. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design
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definite advantage. We’re hoping you’re someone who’s curious about biomaterial development, drug delivery, and translational medicine. You communicate fluently in English and thrive both when working
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systems Strong analytical skills and interest in interdisciplinary, real-world problem solving Good communication skills in English and the ability to collaborate with diverse stakeholders You must have a
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with intelligent, data-driven emergency planning, aiming to develop robust tools for communities and authorities to prevent and mitigate the impact of natural disasters such as wildfires. Working closely
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stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
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), high-tech industries (HTI), and communities to cascade hazards, particularly NaTech (Natural Hazard Triggering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network
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of critical infrastructures (CI), high-tech industries (HTI), and communities to cascade hazards, particularly NaTech (Natural Hazard Triggering Technological) events. REUNATECH is a Horizon Europe Marie
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structured approach to study and research The ability to work independently and make informed decisions An open and collaborative attitude Strong written and oral communication skills in English You must have
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some background in one or more of the following areas: Mathematical Optimization / Operations Research Reinforcement Learning, Machine Learning, and/or Multi-agent systems Game Theory Algorithms