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. The role includes planning and facilitating stakeholder workshops, supporting related research and evaluation, and liaising with artists to develop innovative ways of conveying risk. The ideal candidate will
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leading role in the social science, stakeholder engagement, and science communication activities of the project, contributing to the co-design, evaluation, and uptake of an innovative Knowledge-to-Action
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intelligence, decision making, requirements, specifications, implementation and evaluation of prototypes, that will be used by multiple partners, including road authorities. In addition, developing and
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: Reviewing existing quantum algorithms relevant to fluid dynamics and atmospheric modeling. Evaluating their compatibility with the structure and requirements of current NWP models. Identifying potential
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communication activities of the project, contributing to the co-design, evaluation, and uptake of an innovative Knowledge-to-Action Toolbox for public authorities, policy makers, industry, and other end users
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space infrastructures to assess adaptive trust management and validate the ability to maintain trust, reliability and compliance under various operating conditions. Evaluate trust, usability, and
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ingredient towards market readiness. The successful candidate will play a leading role in the delivery of a randomised, double-blind, placebo-controlled cross-over clinical study evaluating the effects of our
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imaging modalities. Research in the other strands that focus on machine learning applications will aim to leverage and adapt appropriate strategies for fairness evaluation and explainability in wide-data
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
aim to leverage and adapt appropriate strategies for fairness evaluation and explainability in wide-data risk prediction modelling. Achievement of the expected progression within Post Doc and Senior