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Field
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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nanocomposite and supramolecular materials for next-generation integrated sensor arrays. This role supports innovation in intelligent sensing technologies, contributing to the development of scalable
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; • Proficiency in programming; • Proficiency in additive manufacturing-related software, including 3D modelling and path planning; • Ability to integrate sensors (e.g. laser scanning, thermal imaging) for
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(terrestrial and NTN). The goal of this research is to design and develop algorithms and techniques that adapt to the environment, minimizing signaling overhead associated with channel estimation and enhancing
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Postdoctoral Research Fellow to work on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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-edge research in machine learning and automated reasoning for safe algorithmic systems. The Research Fellow will be responsible for developing advanced theory and machine learning algorithms
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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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development, planning and delivery of research funded by the UKRI MRC. You will also liaise with collaborators from Imperial College London on the design novel stimulators and sensors to use in the neonatal
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Applied Sciences has a vacancy for PhD Research Fellow in Semi-Autonomous Teleoperated Robots The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor