17 data-"https:"-"https:"-"UCD---University-College-Dublin" Fellowship positions at King's College London
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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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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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About Us We are offering an exceptional career opportunity for an accomplished Research Fellow to support the data analysis and data management team
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or closely related area Experience in analysing biological experimental data Experience in delivering research project results Further Information This is a full-time post for 36 months. As part of your
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provide updates on the project; manage the budget; and supervise the research assistant who supports the project co-ordination on a part-time basis. In addition, the post holder will work on the data from
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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
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document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. At King’s, we believe that the diversity of our community and a culture that is welcoming, open
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teaching Further Information At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning