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specific physical effects. The student will also investigate data-driven methods for the optimization of EM experimental settings and image processing workflows. A further area of research will be
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algebraic geometry, or representation theory; familiarity with programming and the use of computer algebra. Our offer A position for 18 months, with an extension to a total of four years upon successful
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at the interface of applied mathematics and process optimization in the medical laboratory context. Your contributions will be to gain mathematical insights and ensure that these translate into real-world impact
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of the different parties (involved in both electricity and heat chains) in local decision-making processes with the help of so-called ‘use cases’ in Groningen, Eindhoven, Nijmegen and Tilburg, alongside other new
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critical processes that significantly influence the usability of steel sheets are annealing and temper rolling. Annealing resets the material's microstructure, enhancing strength and formability, but it can
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, addressing the deep political and institutional nature of placemaking and spatial-environmental governance. The group seeks to contribute to more future-oriented practices and territorial images. The Spatial
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. The shift in species composition and the way organic matter is processed alters ecosystem dynamics. Most of the organisms that attach to these structures feed by filtering particles from the water, including
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organizations and typically informs important decisions in healthcare, governments and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on structured
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single mirror image forms is often denoted as “A Signature of Life”. Homochirality is essential for, e.g., molecular recognition and information processing, enzyme functioning and cell replication. However
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, healthcare and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on tabular data is lacking. With the TRL Lab (Table Representation Learning Lab