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analysis - Previous practical experience and working knowledge of human neuroimaging (e.g. model-based fMRI). - Have a working knowledge of experimental statistics, signal processing and excellent
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), both located on the main campus in Grenoble. These laboratories provide a rich collaborative environment at the intersection of astrophysics and signal processing. The work will be carried out as part of
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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project on the release of hormones, neuropeptides, and neurotransmitters by exocytosis, which is mediated by a vesicular fusion process whose mechanisms are well established. However, the mechanisms
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opportunities for new ideas and applications. Nanophononics plays a key role in engineering thermal transport in nanoscale electronic devices and could open a new pathway for quantum communications, using phonons
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analysis and visualization, signal processing, and ideally machine learning. • Working knowledge of Distributed Acoustic Sensing (DAS) and its applications in seismology (appreciated). • Aptitude
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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in
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, 1008-1019; Huang et al., 2023, Plant Cell 35, 3845-3869). PD closure and antiviral immunity depend on the plasma membrane-localised PRR coreceptor SERK1 and downstream SERK1-dependent signalling, further
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of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational
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Qualities - Ability to work in an interdisciplinary team - Autonomy and rigor - Scientific curiosity and creativity - Strong communication skills Education - PhD in Computer Science or Virtual Reality Website