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ensure Effective and Sustainable Health Care and Rehabilitation), is a new European Marie-Curie doctoral training network. Fifteen doctoral candidates will explore how individual differences shape brain
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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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1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD position 2 will focus on designing scalable
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. Investigate and implement optimum sampling strategies, including sparse and compressed sampling techniques. Explore the applicability of neural networks in clinical workflows, ensuring solutions are practical
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, such as physics-informed neural networks (PINNs), and apply them to regenerative processes. Collaborative by nature – You enjoy working across disciplines and feel at ease in an international