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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Searching for a motivated candidate for PhD position in
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are expected to establish and maintain a vibrant research program supported by extramural funding. Qualified applicants should submit a cover letter, curriculum vitae, concise (1 page) summary of previous
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
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Apr 2026 - 00:00 (UTC) Country China Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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-time Is the job 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 2 Research
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, see https://www.ntnu.edu/studies/phiot . As a PhD Candidate, you are obligated to participate in an organized PhD program during the employment period. A condition of appointment is that you are
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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postdoctoral researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming