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Field
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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environment, safety, health, and quality assurance requirements. Effectively communicate and collaborate with other technical staff and interface with staff outside of the home organization to meet research
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in real-world public health applications, including pandemic preparedness, outbreak forecasting, and integrating diverse data sources to inform decision-making. JOB DESCRIPTION: Helps design and
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approaches to legal interpretation (see https://solid-symposium.github.io/2025/ for examples of interdisciplinary research in this space). We seek candidates with a Ph.D. in Linguistics, Computer Science
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health management (back training, health day with various offers), discounted sports offers from the Dresden University Sports Center, job-related further training opportunities and language courses
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. The Faculty of Health Science and Technology has an opening for a full-time post-doctoral research fellow in Computer Science with a focus on Impact and Risk Assessments, Artificial Intelligence, and Digital
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Regular Job Code 9546 Employee Class Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up
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Haven, Connecticut (USA) Introduction: The Department of Biomedical Informatics & Data Science (BIDS) is a new department at the intersection of health sciences and information technology. It develops new