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concentration in specialized clinics with access innovative treatments and technologies, such as (hybrid) surgical equipment, cell therapies, AI-driven methods, and advanced genomics. The project will focus
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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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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“hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal > Familiarity with classical statistical methods and knows when and how to apply them in a rigorous
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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