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Robotic-assisted surgery is rapidly expanding in the UK, with over 100,000 procedures performed in 2024 alone. Emerging 5G and future 6G networks are making remote surgery increasingly feasible, allowing surgeons to operate on patients from different locations. However, communication delay...
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at WMG, University of Warwick. The WMG Battery Systems Group combines academics and engineers with industrial experience to address significant challenges of cell manufacture and integration into battery
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agentic AI (e.g., large language models, algorithmic systems) shape users’ psychological and behavioral well-being, particularly among vulnerable populations. Applicants are encouraged to approach
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University of Warwick. The CDT trains future research leaders capable of developing technologies that remove greenhouse gases from the atmosphere and replace fossil‑based systems with sustainable alternatives
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General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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Grundstufe (praedoc) Limited until: 30.04.2029 Reference no.: 5311 Where to apply Website https://iventajobdata.eu/bestmedia/img/2284472/1912258/cl/5cf77b097cc38f6987463… Requirements Specific Requirements
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region of Portugal, although other tasks may be considered according to the profile of the recruited researcher. The researcher will be responsible for implementing spatial analysis algorithms, developing
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-related traits, and heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a
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3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development of estimation algorithms, use of observers
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About the project: Supervisor: Professor Nicholas Hine, University of Warwick This project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell