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architectures and patterns for space and ground-segment systems. 2) Digital system security engineering Utilising novel model-based frameworks to facilitate the application of emerging system security standards
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. These data will be complemented by data from a bespoke survey, designed and analysed by other members of the team. The results from the digital ethnographies will feed into spatial micro-simulation and agent
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to provide better quality estimates compared to variables obtained from traditional data sources? RQ2: how can we combine the two different data sources in area-level models to measure attitudes towards LGBTQ
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-order differentials. Differentiable wind models for accurate re-entry simulations. High-order State Transition Tensors usages and efficient computation. Manoeuvre detection and estimation of non
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. Integrate this neural information into real-time musculoskeletal modeling using our CEINMS-RT framework . Enable neural control of a bilateral cable-driven ankle exoskeleton in post-stroke individuals during
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interfacing technologies, musculoskeletal models and personalized rehabilitation interventions. Your core tasks will include: Performing human measurements involving HD-EMG acquisition from lower-limb muscles
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the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention
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will combine BERT type models and Large Language Model (LLM) to examine research publications and patents, in combination with other unstructured data sources such as policy documents, media, call
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by the CCI are a major contribution to the evidence base used to understand climate change, which drives international action. Climate modellers use the ECVs to study drivers, interactions and feedback
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Apply now How do diverse voices in the competitive Iranian public political sphere justify secularism as a political ideal? What models of secularism are proposed, and how do they differ in terms