Postdoctoral Research in Biomedical Data, Trinity College Dublin, IrelandWe are seeking a highly motivated Postdoctoral Researcher to join our research project focusing on Temporal Knowledge-Graph Embeddings for Biomedical Data. This project is a collaborative effort between Trinity College Dublin and Accenture Labs in Dublin. As part of this role, the successful candidate will work on cutting-edge research to predict patient outcomes and trajectories from structured clinical records using innovative techniques in temporal graph embeddings.
The successful candidate will work on a research project focusing on Temporal Knowledge-Graph Embeddings for Biomedical Data, investigating temporal graph embeddings to predict patient outcomes from clinical records. This work involves analyzing patient data as a sequence of events and developing state-of-the-art methods for temporal knowledge graph embeddings. The candidate will assess existing time-aware graph embedding methods and contribute to the development of new techniques. Strong collaboration with a multidisciplinary team and effective communication of complex technical concepts are essential aspects of this role.
Qualifications Ph.D. in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, or closely related fieldDemonstrated research experience in knowledge graphs, temporal data analysis, machine learning, or related areas Proficiency in programming languages such as Python, R, or Julia, and experience with deep learning frameworksStrong knowledge of knowledge graph construction, representation, and reasoning, as well as experience with temporal data analysis, machine learning models, and graph neural networksUnderstanding of biomedical data, including its structure, types, and sources, and familiarity with biomedical ontologies and standardsExcellent communication skills, ability to work effectively in a multidisciplinary team environment, and good project management experienceApplication Interested applicants should submit a Curriculum Vitae and a Cover Letter (1 A4 page) before the closing date, clearly addressing their experience and how they obtained their knowledge
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