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Field
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-improving or self-updating AI models Representation learning, cross-modal alignment, and multimodal learning Your profile Excellent PhD and/or postdoctoral record with outstanding scientific achievements
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Deep Learning/Reinforcement Learning/Foundation Model. Familiarity with Human-AI Interaction, Human-AI Collaboration, Human-AI Alignment, or related research areas. Familiarity with information
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diving team. Further information can be found here. UMSC is closely aligned with the Department of Ecology, Environment and Geoscience which conducts world-leading research offering an excellent
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, take initiative, and manage multiple tasks simultaneously. experience in interdisciplinary research and an interest in collaborating with researchers from different fields. good understanding
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on where your research is best aligned; you are welcome to indicate your preferred department in your application. The position includes a start-up package with funding equivalent to a doctoral studentship
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deemed to have the abilities necessary for successfully completing the third cycle programme. The research questions that this position is focusing on involves multiple traditional scientific fields
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to the team, and what you would like to build, develop, or explore if you joined us. We are interested not only in what you have done, but also in where you want to go and how that aligns with our future
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to supporting users in achieving their scientific goals. You are goal oriented and organised, capable of managing multiple tasks simultaneously while maintaining high-quality work. What we offer When you join our
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with a department at the Faculty of Medicine. The departmental placement will be determined in consultation with you, based on where your research is best aligned; you are welcome to indicate your
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, and supervision of students, doctoral candidates, and postdoctoral researchers. Teaching will take place in courses relevant to and aligned with the program’s research specializations. administrative