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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North
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manual gestures). The SyncoGest project (2025–2030) is an interdisciplinary project conducted jointly by computer scientists (Loria – University of Lorraine / Inria / CNRS), linguists (Praxiling – Paul
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or other space-system safety standards Experience with simulation, Software-in-the-Loop, or Hardware-in-the-Loop testing Experience integrating AI methods with control, estimation, or autonomy frameworks
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engineers, and researchers in materials science and nanotechnology. We are developing the superconducting quantum devices, control circuits, firmware, and methods required to make the quantum computer a
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and AI/ML. In this role, you will advance innovative research that apply AI/ML to develop methods and tools to improve crop performance and resilience, contributing to solutions for global food security
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, interviews, thematic analyses, researching and writing up case studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential
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. About the position The successful candidate will do research on how to improve precision and accuracy in forest soil carbon stock estimates within the project “A better check on soil carbon - a novel
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synthesis of organic compounds and afterwards the study of their properties and application within the RedFox project. The goal of the project is to develop new methods for the reduction of phosphine oxides
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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 1 month ago
integrative methods of building documentation and building analysis. Chronologically, the research spans from antiquity until the modern era. For more information of the research activities of the group, see
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes