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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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their goals. Our Mission and Vision Our Vision - TTI leads in the creation of knowledge that transforms transportation for the benefit of society. Our Mission - TTI delivers practical, innovative and
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Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and education in
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volunteers Performs other duties as needed Required Qualifications PhD degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field Preferred Qualifications
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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skills, with the ability to liaise with a range of stakeholders. Desirable Criteria: A PhD (or be close to submission) in Electronic Engineering, Mechanical Engineering, Computer Engineering, or a closely
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, the Postdoctoral Associate will investigate hippocampal and cortical circuits during navigation and goal-directed behaviors using large-scale electrophysiology, in vivo imaging, optogenetics, and computational
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of shape modelling and contribute to attracting external funding. You will assist in the supervision of PhD students. Profile You hold a PhD in physics, mathematics, engineering or computer science from a
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, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI