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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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the Computational Rare Disease Genomics (CRDG) Team, which is led by Associate Professor Nicky Whiffin and based within the University of Oxford’s Big Data Institute. The CRDG team collectively use
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the research project - “COMAC-PolyU Research institute for large aircraft (RILA)”. Qualifications Applicants should have an honours degree with knowledge of Aerospace and Aviation Engineering. Preference will be
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the research project - “Large-scale linear stability analysis of complex flow problems and its application”. Qualifications Applicants should have a master’s degree in Engineering. Preference will be given
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, such as single-cell omics, cellular electron microscopy, and optical microscopy data sets. Additional work may entail integrating large-scale cross-sectional data with more limited time-course information
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
Posting Information Posting Information Department Physics and Astronomy - 319000 Career Area Research Professionals Posting Open Date 08/12/2025 Application Deadline 08/21/2025 Position Type
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) Location: Big Rapids, MI 49307 Department: 57- Public Safety Advertised Salary: $12.48- $13.24 Summary of Position: Are you interested in public safety? If so, becoming a campus dispatcher may be your
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conferences and the preparation of project reports. Develop and apply software tools. Documentations of software and data according to the FAIR data principles. Contributions to workshops and training