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Circulation (AMOC) and the Amazon rainforest play important roles in the Earth’s climate system. Both of these subsystems have been marked as tipping elements and global climate change seems to push both
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qualitative research methods. You have excellent coordination and organisation skills. You have excellent English language and academic writing skills. You are a team player. You preferably have a working
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vibrational Non-Destructive Testing (NDT) methodology for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights
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for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights gained will enhance the understanding of AM variability
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networks, or network science, and relevant background knowledge on methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods
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regarding local decision-making processes, for instance the division of roles of actors, the available resources, the rules of the game and the dimension of discourses, combined with elements such as
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qualitative, participatory research, including ethnographic methods; develop recommendations for (co-creating) responsible implementation and scaling pathways for innovative early testing in hereditary cancer
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proven ability to interact effectively with academic and societal stakeholders. Knowledge of qualitative research methods such as interviewing, organising workshops, participant observation and comparative
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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five Dutch universities: the University of Twente, the University of Groningen, Leiden University, Radboud University, and Delft University. The Formal Methods and Tools (FMT) group at the University