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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Leverage computer vision, smart
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
$62,000- $70,000 Proposed Start Date 01/18/2027 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
$62,000- $70,000 Proposed Start Date 01/18/2027 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public
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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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of positions: 1 Scientific Area: Electrical and Computer Engineering. Admission requirements: The candidate must be enrolled in a PhD program in Electrical Engineering at a Portuguese Higher Education
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position within the Human-Centred Artificial Intelligence (HCAI) Lab at NTNU Gjøvik. The position offers an opportunity to conduct mixed method research, applying human-centred design methods and Human
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systems that affect their lives and maintain agency over the data generated. About the role We are recruiting a Research Fellow in participatory methods to work within the Centre for Data Futures (CDF
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motivated Researcher to join the Division of Health Data Science (HDS). The successful candidate will participate in research projects focused on artificial intelligence, biomedical informatics, computer
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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties
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or technical projects. Activities may include, but are not limited to, Interpreting data and analyzing results using appropriate methods, techniques, and visualizations. Practice identifying, analyzing