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Field
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health-related datasets
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questions. Work with asset owners will also concentrate on determining the value of the data. Role Summary Design and conduct large-scale laboratory and field trials using both classical as well as quantum
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to support personalized lifestyle interventions and clinical decision-making for chronic disease management. Perform large-scale data integration and analysis, ensuring data quality, security, and compliance
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, and how their combination can improve safety signal detection. As a PhD fellow, you will be working with large-scale longitudinal data, managing data, writing scripts, performing statistical analyses
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to an interview. Further information about the appointment process is available here. Formal regulations: Applicants who have previously held a PhD fellowship at the University of Bergen are not eligible to apply
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AI (e.g. large language models). • Prior research experience in combining AI and structural engineering. • Open to fixed-term contract More Information Location: Kent Ridge Campus Organization
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by anxiety, depression, eating disorders and other mental health conditions. About the role: We are seeking a highly motivated postdoctoral Research Fellow in statistical genetics and genomic data
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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis
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3 Mar 2026 Job Information Organisation/Company QUEENS UNIVERSITY BELFAST Research Field Sociology Ethics in health sciences Psychological sciences Researcher Profile First Stage Researcher (R1