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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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/or machine learning background to join the Parallel Computing Systems (PCS) group at the University of Amsterdam. We look for vulnerabilities of AI systems across the whole AI system: from adversarial
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neuroinflammatory diseases. Drawing on parallels with the retroviral replication cycle, we identified host factors involved in LINE-1 transposition. This PhD project builds upon that work. Specifically, we
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation
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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a
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). However, assays assessing fibrinolytic capacity are poorly standardized and are not routinely available in clinical practice. In this PhD project, you will contribute to advancing our understanding
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deployed through conventional casting for standard applications and through 3D printing for complex or non-planar geometries. In parallel, circular end-of-life strategies will recover fibres, upcycle fines
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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structural interventions. It can be deployed through conventional casting for standard applications and through 3D printing for complex or non-planar geometries. In parallel, circular end-of-life strategies