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approach that integrates machine learning algorithms, blockchain technology, and IoT devices with digital twin systems. The scientific objectives of the project are as follows: Objective 1: Investigate how
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. This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with
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engineers to monitor and maintain shell structures in real time. By combining data from sensors with advanced computer models, a digital twin can continuously track how a shell responds to changing loads and
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-binding domain and leucine-rich repeat (NLR) genes play important roles as the sensors/receptors of non-self molecules and in activation of immune responses such as transcriptional reprogramming and cell
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first publications in the field of explainable AI with a focus on understanding algorithms by various stakeholders, especially at ACM FAccT, ACM AIES, International Journal of Human-Computer Studies or
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, Elixir and Python. The Senior Research Associate role is expected to lead the investigation of the algorithmic aspects of these systems and the design and implementation of prototype tools for Erlang
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Job Purpose You will manage the overall running of ‘GCR Neuranics Advanced Manufacturing Capacity for Sensor Technology’ an ambitious and critical project for the Glasgow region’s dynamic advanced
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Analysis for Stable AI” funded by a European Research Council Advanced Grant. The Opportunity: This postdoctoral position will be devoted to research on algorithms in Artificial Intelligence (AI) from
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Photonics for the scale up of quantum sensors (S3.5-ELE-Smith)
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species interactions and with the environment. Holistic, community-level approaches are still largely missing. In this project, the DR will develop state-of-the-art AI algorithms to monitor and predict