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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department Computer Science - 318400 Posting Open Date 08/04/2026 Application Deadline 08/10/2026 Open Until Filled No Position Type Postdoctoral Scholar Position
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About us The Department of Informatics is looking to recruit a Postdoctoral Research Associate to work on data mining, in the context of a project funded by Leverhulme Trust, in the Department
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Screen reader users may encounter difficulty with this site. For assistance with applying, please contact [email protected] . If you have questions while submitting an application, please review these frequently asked questions . Current Employees and Students: If you are...
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6 Jul 2026 Job Information Organisation/Company Senckenberg Institute for Plant Form and Function Research Field Biological sciences Technology Engineering Computer science Information science
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chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your PhD to be
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expertise in chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your
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computer science. Success in this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your PhD to be awarded you will be
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About the Role We are seeking a Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and Trials Theme, of the NIHR Biomedical Research Centre Award. Funded by the National Institute for...
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Intelligence, Computational Biology, Computer Science, Bioinformatics, or a related quantitative discipline, or expected completion within the next six months. Strong publication record in machine learning
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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and