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Field
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Methods in Magnetic Resonance Spectroscopy and Imaging. Project topics include: Steady-state free-precession (SSFP) techniques that improve resolution and sensitivity NMR spectra and MRI images; Spectral
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researcher will carry out research tasks in IMAG, within the ERC NEMESIS project team, led in IMAG by two principal investigators, Jérôme Droniou (CNRS) and Daniele Di Pietro (University of Montpellier
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vacancy at Post-doctoral level in image Guided Neurosurgery. Funded by the EIC Pathfinder HyperProbe project (hyperprobe.eu ). This exciting and broadly scoped position is hosted at CREATIS Lab in the group
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researcher will be responsible for performing statistical analysis of complex datasets derived from large-scale biological images, as well as proteomic and genomic data. The postdoctoral researcher will
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collaboration with LIRMM, IRMB/CARTIGEN, and the industrial partner Symétrie. The project lies at the interface of biomechanics, robotics, imaging, and biology, within a stimulating interdisciplinary ecosystem
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Additional Information Website for additional job details https://www.impan.pl/images/Konkursy/2025_Rok_rozstrzygniecia/SN_FY_postdoc1_Ma… Work Location(s) Number of offers available1Company/InstituteInstitute
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Additional Information Website for additional job details https://www.impan.pl/images/Konkursy/2025_Rok_rozstrzygniecia/SN_FY_Konkurs%20p… Work Location(s) Number of offers available1Company/InstituteInstitute
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collaboratively in an international, interdisciplinary environment. - Excellent command of English (French optional; international lab environment). The CBS in Montpellier offers state-of-the-art imaging, cytometry
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-lyon.fr Requirements Research FieldEngineering » Biomedical engineeringEducation LevelPhD or equivalent Skills/Qualifications Educational background: PhD in Biomedical engineering, Optical Imaging/Physics
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on developing new methods for color-specific conditional generation in multi-modal generative models. The candidate will work on exploiting the intrinsic knowledge about color within text-to-image (T2I) models