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(PIC and MHD), accretion disk, black hole magnetospheres and jets, pulsars, particle acceleration and radiative processes. The appointment is for 2 years. Remuneration will depend on qualification and
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hybrid electrodes (tetrodes & field potentials) in human data Perform the pre-processing, time-frequency analyses, statistical analyses and modelling necessary to link neural characteristics to decision
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Explainable AI on genomics data The candidate will: - Start by familiarizing with existing research and methods for genome interpretation - Familiarize with the sequencing data and its pre-processing - Study
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. Experience in neurobiology of addiction, animal behavior (self-administration, stereotaxic surgery), and/or molecular techniques (PCR, western blot, immunohistochemistry). Experience in neuronal imaging is a
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operation of scientific instruments. Our team Strong Interacting Matter in the theory division of IJCLab focuses on nuclear theory and its applications to others fields of physics. Our team, is
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origins (bacterial, biological fluids, hybrid nanovectors, etc.). He/she will develop protocols for fluorescent labeling (e.g. DNA paint...), immunolabeling, immunoimmobilization, acquisition, processing
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signal-to noise Post-processing: denoising, reconstruction algorithms Comparison with high-field MRI: deep-learning and other AI modalities for low-field MRI optimization Close cooperation with
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. • Proficiency in audio recording pre-processing tools and methods for extracting acoustic markers. • Research experience in a multidisciplinary team. • Clinical experience with patients suffering from Alzheimer's
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on the effect of the language environment on auditory speech processing during early development. The postdoctoral researcher will actively participate in experimental design, data collection and analysis, and
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative