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University of Artificial Intelligence (MBZUAI) invites applications for an open-rank, tenured/tenure-track faculty position in Human-Computer Interaction (HCI). We seek passionate and highly motivated
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paradigms centered on human perception. Finally, the recent rise of foundation models and multimodal artificial intelligence opens up new perspectives at the interface between coding and machine learning
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administration. Candidate profile: PhD in Translation Studies/Machine Translation. Practical experience using a wide range of technologies, including: Neural Machine Translation (NMT), LLMs, Computer-Assisted
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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artificial intelligence: ensuring that AI systems are transparent, interpretable and aligned with human needs and values. You will focus on developing, testing and reviewing a methodology to make AI systems
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of computer vision models is comfortable working in multidisciplinary research environments, where methods are applied to biological or real-world problems Qualifications The applicant must: hold a PhD in a
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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Torr on linkedin: https://www.linkedin.com/in/philip-torr-freng-frs-1085702/?originalSubdomain=uk Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a
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for the duration of the appointment. Minimum Qualifications: Earned PhD in Biomedical, Chemical, Electrical, or Computer Engineering, or a closely related field, by the appointment start date. Demonstrated