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Application deadline: 8 January 2027 at 12pm (UK time) The UCL EPSRC Doctoral Landscape Award (UELA) is recruiting for approximately 50 fully funded, 4-year PhD studentships, starting in October
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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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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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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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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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applications. Develop scalable EMT simulation methodologies for large transmission systems. Investigate model reduction, dynamic equivalencing and network partitioning techniques. Develop parallel and high
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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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oceans. The PhD student will be supervised by Dr Drage, and will closely collaborate with several international colleagues, primarily Prof. Minter (University of Portsmouth, UK) and Dr Pates (UCL, UK). The
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
computations and developing efficient quantum error-correcting codes. Different approaches to implementing quantum computations are being pursued in parallel. The most widely-used approach is that of quantum
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and biological mechanisms underlying bleeding phenotypes by integrating whole-genome sequencing with functional studies in individual patients and affected families. In parallel, the project focuses