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findings in peer-reviewed journals and conferences. You should apply if PhD (or equivalent) in Human-Computer Interaction, Computer Science, or a related field. Strong understanding of ultrasound mid-air
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development opportunities. Applicants should have, or be about to obtain, a PhD in computer science, engineering, mathematics or a relevant discipline.
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, world leading research is conducted through its five Schools (Biological Sciences; Chemistry, Pharmacy and Pharmacology; Computing Sciences; Engineering, Maths and Physics; and Environmental Sciences
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Bugging Out: When AI loses the Plot – Detecting and Taming Hallucinations in LLM-Generated Code (S3.5-COM-Wang)
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Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol)
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Technology Enhanced Learning (TEL) to become part of our internationally leading TEL doctoral programme team for 12 months. The TEL doctoral programme is delivered by colleagues in the discipline of
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the world. VinUni comprises of College of Arts and Sciences; College of Business and Management; College of Engineering and Computer Science; and College of Health Sciences. VinUni’s founding benefactor
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agricultural management strategies. Depending on the interests of applicants, this project will include computer modelling, data science and ecological data collection. Applications are welcome from any
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the world. VinUni comprises of College of Arts and Sciences; College of Business and Management; College of Engineering and Computer Science; and College of Health Sciences. VinUni’s founding benefactor
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of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies