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order to investigate economical and supply systems and the interaction between lakeshore settlements and their environment. The candidate will collaborate closely with the other disciplines involved in
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the detection of real versus AI videos. The focus has been from single disciplines (e.g., Masood et al., 2022), and typically technical in nature. By drawing on multiple modalities within video (i.e., visual
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collegial Department (29 faculty) that nucleates a larger interactive community (nearly 100 faculty). We support an exceptional Graduate Training Program, host two training grants, a robust weekly seminar
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the Department of Biomedical Engineering at Swansea University, but you will also interact closely with our national network of clinicians from across the UK. This ensures the project stays grounded in clinical
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framework of responsible human-AI collaboration to better understand the role of human oversight in bias mitigation. Understanding human needs for bias mitigation – Understanding how individuals interact with
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
the synthesis and assembly of these cell surface proteins. A major and complex means by which bacterial gene expression is regulated to control surface protein production depends on RNA-RNA interactions
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simulation study of light matter interaction, digital twin enabled process development and life cycle assessment will be researched. Opens: Immediately Deadline: 08/08/2025. Duration: 36 months Funding: Funded
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infrastructure construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. DUTIES AND RESPONSIBILITIES
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highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process
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materials interact with the body. This project addresses that gap by engineering a 3D-printed full-thickness skin model that mimics the aging microenvironment, enabling more predictive evaluation of novel