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programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together world
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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This is a Research Assistant / Research Associate position within a 4-year long project. This position involves the development of novel Computer Vision algorithms for embedding computer vision
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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stakeholders. You are interested in a role that has visibility and involvement across multiple teams which requires adaptability and an ability to managing conflicting priorities and workloads. For informal
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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, to provide in-depth technical support in data science, artificial intelligence (AI) and research software engineering. Team members are assigned to multiple long- and short-term research projects from across
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or relevant health or social science discipline, and experience of publishing findings in peer-reviewed journals. Given the need to communicate with multiple stakeholders, you will have excellent communication
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The University of Bristol Residential Facilities Team are currently looking for several roles, working across multiple locations within the East Village within our student residential properties as
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tools (including Adobe Creative Suite), media platforms and digital trends, with the ability to oversee multiple projects and adapt to evolving priorities. An innovative and solutions-focused mindset