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Vision The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international, multilingual and interdisciplinary character. She fosters the cross-fertilization of research and teaching, is relevant to her country, is known worldwide for her...
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level in fluorescence Guided Surgery for Cancer: brain, breast, skin cancer. Funded by the INSERM Booster program Surgery of the future. This exciting and broadly scoped position is hosted at CREATIS Lab
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Digital History (C²DH) at the University of Luxembourg is an interdisciplinary research centre committed to high-quality research and public dissemination in the field of contemporary history with a
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by Professor Cédric Mauprivez aims, among other things, to improve sinus lift surgery through the use of preoperative digital assistance tools and repair prediction tools. This application is being
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Additional Information Eligibility criteria ● A relevant PhD degree in semiconductor physics, material sciences, or similar. ● Hands-on experience with III-V semiconductor deposition processes (e.g. MOCVD, MBE
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the nanoimprinting process using the local expertise and obtain high-quality meta surfaces; use characterization involving at least structural (XRD, electron microscopy), optical (UV-Vis, ellipsometry) and
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Description The researcher will be responsible for developing and implementing a protocol aimed at studying motion processing and perception in both patients with macular degeneration and control participants
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mathematics. The skills expected for the position are: - excellent command of the theory of random processes, in particular measure-valued Markov processes; - good general knowledge of population dynamics
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 2 months ago
Post-doctoral Position In Medical Image Processing The Computer-Assisted Medical Interventions (CAMI) team at the TIMC laboratory (Grenoble, France) is seeking a highly motivated postdoctoral researcher
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be