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Field
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shaping strategy. What you will do: Lead research into metadata-driven health informatics using RO-Crate Investigate validation mechanisms (e.g. SHACL, SPARQL), semantic schemas and provenance profiles
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shaping strategy. What you will do: Lead research into metadata-driven health informatics using RO-Crate Investigate validation mechanisms (e.g. SHACL, SPARQL), semantic schemas and provenance profiles
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Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics Duties will include, but are not
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
endowment in excess of $3.9 billion. Job Description Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI Boston College, Department of Computer Science Salary Range: $66,000–$75,813
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computational challenges arising in precision medicine, mental health, and biomedical informatics. The postdoctoral fellow will contribute to projects focused on: Foundation and representation learning
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: A PhD (or equivalent) in health economics, epidemiology, computer science, or a related field. Experience building or using microsimulation models or other quantitative policy tools. Strong
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discoveries into meaningful health outcomes for patients, Singapore, and the global community. For further information, please visit: https://www.ntu.edu.sg/medicine/CMM . We are seeking a motivated Research
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Specialist for a National Institutes of Health (NIH) funded fellowship in public and population health informatics. This unique post-doctoral program is located on Indiana University’s Indianapolis campus
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11 Nov 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Singapore Application
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of References Allowed Keywords statistics, biostatistics, computer science, economics, health care policy, causal inference, machine learning