16 affective-computing-"https:" "https:" "https:" "UCL" Fellowship positions at King's College London
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place. We are delighted to announce exciting new opportunities to join our community. EMBRACE is a visionary, multicomponent international research programme, the first of its kind in the world
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. Fellowships provide a competitive salary and up to £30,000 in research expenses for 18–24 months, enabling fellows to establish a distinctive research programme and prepare competitive applications
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building
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Greek visual and material culture too) Clearly defined research interests in the field of Classics, broadly defined, compatible with the research, impact and engagement strategies of the department
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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society. Our research ranges from more abstract questions, such as those concerning the foundations of freedom and equality, to more applied ones, concerning, for example, the impact of AI or the abuse
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, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of
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quantitative image analysis approaches. Excellent molecular biology skills. Strong interest and experience in using interdisciplinary approaches in their research program. Excellent written and oral
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and