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Field
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uses, improving the AI and MRI algorithms, and linking them with information from biological studies on tumour tissue. This project harnesses AI to improve diagnosis and clinical decision-making leading
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(e.g. Electroencephalogram - EEG) Understanding sleep disturbances and post traumatic epilepsy associated with blast exposure Studying wearable sensor technologies to detect and monitor blast exposure in
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part of the ‘REMIX -TUNE - Redefining The Role Of Mixing In Ocean Overturning And Ventilation’ ERC Consolidator project, which seeks to leverage emerging sensor capabilities of autonomous profiling
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to twelve months] Duties The appointees will assist the project leader in the research project - “Ultrasensitive optical microcavity sensor-integrated optofluidic biochips for early disease diagnosis
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models, with objectives to amplify
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at intersections through real-time detection, classification, and tracking of vulnerable road users (VRUs) using advanced sensing technologies and artificial intelligence algorithms. The appointment is tentatively
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-bioreactor systems for organ-on-a-chip applications. Integrate sensors, microfluidic control, and environmental regulation into compact bioreactor units. Collaborate with biologists and engineers to validate
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experience Evidence of experience with public-patient involvement and stakeholder engagement Track record in scientific publication and dissemination Experience with Machine Learning Algorithms and Artificial
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OF THE WORK PROGRAMME AND TRAINING: 1) Development of workflows and algorithms to complement datasets of connected data spaces, to improve analysis results (forecasting, analysis of financial tools, predictive