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opportunity for an enthusiastic machine learning researcher to push the boundaries of multimodal-AI by developing new models that incorporate data across several modalities, including imaging, text, social and
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are looking for candidates to have the following skills and experience: Essential criteria 1. Engineering or Science degree (MSc. or PhD) in applied mathematics, physics, biophysics, computer vision
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undergraduate and postgraduate education, with a distinctive approach, combining traditional teaching methods with modern, project-based learning, catering for the needs of our students and the industries in
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synthesised and analysed to research and address slavery in war? By working across the Centre’s datasets and using data analytics and machine learning, this Centre strand will build a blended data resource that
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scale. Posted: 19 June 2025. Closing date: 26 October 2025. Business unit: Faculty of Life Sciences & Medicine. Department: Department of AI in Preventive Medicine. Contact details:Professor Josip Car