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PhD Research Fellow in Education: Learning, Readning, and Assessment in the Context of Generative AI
an AI-driven society. This PhD position is affiliated with Cluster 5 of AI LEARN, Work Package 5 Capacity Building for Empowerment, which focuses on identifying learning and competence development needs
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diet and physical activity barriers among South Asian populations. • Map behavioural barriers onto behaviour change frameworks. • Support the development of a theory-informed bank of culturally
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research to monitor ecosystem states and transitions, producing high-quality outputs, securing competitive funding, and translating research into practice and impact. Supervision and Researcher Development
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research programme focusing on evidence generation to further methodology research and to enable the design and development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR HRC IVD
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an active role in the postdoctoral fellow’s professional growth and skill development. The postdoctoral fellow will be responsible for providing mental health and performance services to D-I varsity student
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the position is filled. The Fellow position is 50:50 research and teaching and is designed to foster the professional development of recent Ph.D. recipients on a career path leading to faculty positions
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interactive systems and derive rigorous results that clarify key limits, trade-offs, and conditions under which stronger guarantees are possible. Alongside theory development, you will run targeted
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frameworks for ML and real-time audio software Curating audio datasets, spatial-audio/audio-visual recordings, and ML training/evaluation pipelines Experimental systems development, e.g., integrating
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contribute to the One Health Environmental Sensing project, which focuses on the development of novel sensors to enhance the understanding of multi-drug resistance and track antimicrobial resistance using a
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
. Learning Objectives: Under the guidance of a mentor, the participant will learn about the development of computational models for regulatory use. Research and training activities may include: Learning