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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As a PhD Candidate with us, you will help turn early railway
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11 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Mathematics History » History of science Researcher
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slurries, improve our understanding of blood flow, and support the development of sustainable manufacturing processes. This PhD position is part of the ERC Advanced Grant project IDeS and you will join a
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and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 1 month ago
of their consent and pursuant to art. 221 of the act of 26 June 1974 Labour Code (Journal of Laws 2018.917). The following personal data are processed during the recruitment process: first name(s) and surname, image
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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, including RT-qPCR, ELISA, immunocytochemistry, and Western blotting. Experience with sample preparation, imaging, and image analysis using confocal and high-resolution microscopy. Hands-on experience working
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
stages of the research process, including: designing and implementing experimental studies performing in vivo experiments using mouse models analysing and interpreting complex datasets presenting research
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other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
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an interdisciplinary programme spanning spatial imaging technologies, molecular biology, computational biology, pathology and biomarker discovery. DC13 focuses on Mucosal Melanomas (MuM). Building on its vast experience