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migration corridors – Portugal-Brazil, Netherlands-Turkey, and UK-India. The team consists of the Principal Investigator (PI), Dr. Dora Sampaio, two PhD candidates, and one postdoctoral researcher. The team
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the Table Representation Learning Lab and is member of the Database Architectures group. Prior to joining CWI, she was a postdoctoral fellow at UC Berkeley after obtaining her PhD from the University
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tenure-track researcher at CWI in Amsterdam where she leads the Table Representation Learning Lab and is member of the Database Architectures group. Prior to joining CWI, she was a postdoctoral fellow at
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component of the project is to ensure that the results translate into impact by ensuring that they are implemented in the real-world in the Labmicta laboratory management systems. Your project will be
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will work in a highly collaborative environment as part of a inter-national team of PhD, postdoctoral researchers, MSc, and professional staff. Our lab supports diversity, access, and inclusion in all
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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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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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practices on various landscape aspects and conversely the conditions of the landscape for successful regenerative farming. Landscape aspects include soil health, natural elements, biodiversity and water
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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