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The Continental-NTU Corp Lab invites applications for the position of Research Fellow. Key Responsibilities: Lead the development of situation awareness, interaction behaviour modelling and decision
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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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and modeling of properties and spectra of PFAS chemicals with the goals of improving detection of PFAS compounds, replacing PFAS in plasma etching processes, or identifying solid adsorbent additives
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Solutions”, an interdisciplinary project integrating 2D and 3D seismic and well data with state-of-art numerical forward modelling to understand the role of salt basin geometry and intra-salt heterogeneity
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quantum nanophotonics with optical metasurfaces. The project work will involve both experimental investigations and theoretical modelling, with a view to obtain and publish original and innovative results
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
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constraints using multi-scale feature fusion and generative data augmentation to enhance LVLM perception capabilities; (c) optimise model efficiency: implement model distillation techniques to compress LVLMs
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German Center for Diabetes Research (DZD) and the TransCampus collaboration with King's College London. We analyze large clinical cohorts and experimental models to unravel disease mechanisms and identify
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estimated stepwise from time series of the RS images, numerical models can provide continuous predictions of drift and deformation fields. This project shall investigate how the combined use of image time