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Retrieval (MIR). Style understanding drives user modelling, cultural heritage preservation, music categorization, transcription, recommendation and historical analysis. The project aims at explainable models
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create transparency and coordination across many stakeholders. You will work in a strong multi-actor consortium with University of Twente (UT), Tilburg University, Saxion, regional networks (e.g
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interviews, document analysis, questionnaires and futuring, i.e. future thinking or imagination of the future. The project ‘Delta Values’ is a developing network of partnerships, combining their own research
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. Academic training in cutting-edge computational analysis and design tools. Structured training through network-wide workshops, summer schools, and transferable-skills courses. International secondments
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essential for addressing real-world problems. In particular, we will consider applications to neural network training, imaging, and the analysis and numerical solution of partial differential equations
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several critical requirements: first, the geometry and size of the vascular network should be representative of real (tumor) microvasculature, i.e. consisting of 3-dimensional networks of perfusable lumens
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the design and analysis of such models. PhD position 1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD
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for hands-on experimental characterization techniques and data analysis. Skills in programming (e.g., Python, MATLAB) and simulation tools. Expertise in photonic integration is not a must, but having relevant
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project stakeholders. Enthusiasm for performing field work on-station and on-farm. Strong analytical and statistical skills; experience with ecological data analysis or ecological network modelling is an
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an optimised way. This may include neural network and neural mass modelling of large-scale brain activity during and after stimulation, and experimental tACS in healthy participants. The successful applicant