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with disabilities through inclusive Human-Computer Interaction (HCI) and participatory design methods. This PhD project will focus on methods and experiences in co-designing with stakeholders, especially
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the EAA and ensuring equal participation in society. The ideal candidate will have a strong interest in accessibility, design methods, human-computer interaction, artificial intelligence, and human-centered
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difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included. About The Faculty of Environmental Sciences and
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difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included. About The Faculty of Environmental Sciences and
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the area of program evaluation and survey research, including identifying funding sources and RFPs; conducting literature reviews; developing research question; designing research methods, data analysis plan
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(based solely on DL) with XAI, to incorporate subtle human judgement, thus aiming to bring robotic systems closer to the thresholds of human cognition Designing XAI-based methods in robotics and computer
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, boosted by AI-data augmentation for extrapolating spectrum patterns from multiple sources. To design a scalable computing framework using a physics-informed neural network for distributed spectrum analysis
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included. About The Faculty of Environmental Sciences and