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Field
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develop electrochemical switchable nanobody sensors that provide ondemand, high-sensitivity detection of proteins directly in culture media over extended periods. The focus will be on microelectrode array
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
Develop and implement novel AI models and learning algorithms for multimodal and generative modeling. Collaborate with neuroscientists, clinicians, and AI researchers on interdisciplinary problems involving
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Engineering or related areas. Experience in research activities related to electrochemistry, biosensors, namely, construction of DNA-based sensors and paper-based electrodes. In case the Master degree
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of oil spills in the ocean based on satellite imagery. A key focus will be to develop oil spill segmentation approach based on optical sensors, and how this can be integrated with SAR sensors, current
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work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through
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practice of sensor development, battery manufacture and testing. You will ideally have experience of battery development including the experimental assessment / characterisation of battery and/or novel
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Matter Physics o Physical Chemistry and Theoretical Chemistry o Combinatorics, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o Classical and
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settings. Our project focuses on knitting of functional yarns through which knitted wearable with sensors and electronics are achieved in a single knit. Our knitted wearable solutions aims for real world
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apply these digital twins and sensors to real-world case studies of novel biologic modalities, evaluating how hybrid PAT–digital twin frameworks can optimise critical quality attributes, reduce
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sensors to real-world case studies of novel biologic modalities, evaluating how hybrid PAT–digital twin frameworks can optimise critical quality attributes, reduce development timelines, and de-risk scale