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cell lines have been engineered and characterised, you will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models
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of the Polish Academy of Sciences, based in Warsaw at 18A ul. Bartycka, 00-716, for the purposes of the recruitment process in accordance with Article 6(1)(a) of Regulation (EU) 2016/679 of the European
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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imaging/omics and CRISPR/Cas9 technology is a plus. Team-oriented, innovative, and motivated to push boundaries in translational neuroimmunology. Your research qualities are in line with the faculty and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is
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Apply now Job no:535928 Work type:Faculty - Other Location:Eugene, OR Categories:Natural Science, Research/Scientific/Grants, Physics Department: CAS Physics Rank: Postdoctoral Scholar Annual Basis
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mechanisms engaged when deciding to transmit information in social networks. Candidates must have (or nearing completion of) a PhD degree in neuroscience, social psychology, behavioral economics, computational
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earlier. The ideal postdoctoral candidate holds a Ph.D. in a relevant field such as molecular biology, bioinformatics, computational biology, or computer science, and has a strong publication record that
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8 Nov 2025 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 30 Dec 2025