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and robot-mounted projection systems will be available to perform validation testing on case study products with small user groups and for the purpose of demonstration in the newly established
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teaching activities and supervising Bachelor and Master students. is proactive, creative, solution-oriented and able to work independently while functioning well within a team. is well-organized, flexible
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& Uncertainty Quantification Numerical Simulation & Multiscale Methods Numerical Linear and Multilinear Algebra High-Performance Computing Control and Optimization Computational Science & Engineering Applications
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antecedents. Research topic: The PhD project integrates computational content analysis, discourse analysis, and cultural transfer methodologies to examine the discursive and performative dimensions of diverse
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algorithms. model and optimize end-to-end physical-layer performance, hardware non-idealities, and overall power consumption. focus primarily on space and security topics (satellite communications, reliable
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modeling Prior lab experience demonstrating ability to perform long-term experiments Key personal characteristics: Highly motivated and curious, with a passion for fundamental research Perseverant and
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of how human collectives move together and how this can affect the performance and resilience of both individuals and of urban infrastructures such as bridges and running tracks. By engaging citizens as
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optimally combined to deliver models with extremely constrained compute and memory footprints without compromising performance. This includes training spiking neural networks with multiple plasticities
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advance our understanding of how human collectives move together and how this can affect the performance and resilience of both individuals and of urban infrastructures such as bridges and running tracks
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addition, the research will explore which characteristics of support centres and their modes of operation contribute to positive outcomes for visitors. Within this project, the PhD researcher will work