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Field
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project aims to develop next-generation AI technologies for concept-driven video understanding from consumer-recorded facial care videos. Unlike conventional action recognition, the research focuses
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methods; Determining key VOCs that regulate screwworm fly behavior across different physiological conditions; Assist in developing ecological and habitat models to support surveillance and management
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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(m/f/d) in Bioinformatics. Project overview This position offers an exciting opportunity to develop machine learning methods that reveal how biological function is encoded across different kinds
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in Computational Electromagnetics will be responsible for developing theoretical models and high-performance computer codes for modelling the interaction between electromagnetic waves and dielectric
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methodologies. Postdoctoral Fellow will work with the research team in developing predictive models of various socio-technical behaviors on different social media platforms (including multimedia-rich platforms
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search-based methodologies. Postdoctoral Fellow will work with the research team in developing predictive models of various socio-technical behaviors on different social media platforms (including
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methodologies. Postdoctoral Fellow will work with the research team in developing predictive models of various socio-technical behaviors on different social media platforms (including multimedia-rich platforms
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recommendations. Although PDFs will be based in different lab groups, the positions are collaborative with opportunities to contribute to shared synthesis. Findings will contribute directly to evidence-based policy
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individually, make a real difference. The role Applications are invited for a part-time Research Fellow on the production of triboelectric nanogenerators, triboelectric device modules and integrated inverter