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of chemobiology, numerous probes have been designed to monitor metabolic processes in biological systems in real time. The vast majority of these are off-on probes detected by imaging, which, when used in vitro
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approaches (optogenetics, Halo-tagged cell lines, TurboID), biochemistry, and live-cell imaging. The ideal candidate will hold a Master's degree in cell biology, biochemistry, or molecular biology, with a
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Information Eligibility criteria The candidate must: - Hold a PhD in microbiology or cell biology - Have significant experience in fluorescence microscopy: time-lapse, dynamic imaging, multi-channel, etc
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to develop an innovative individualized neurofeedback software suite for ADHD remediation, combining fMRI and EEG. The postdoctoral researcher will work closely with imaging engineers (CERMEP), ADHD clinical
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to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier) for 18 months. The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics
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using laser diagnostics, including: Flow visualization via Particle Image Velocimetry (PIV) Flame structure imaging via OH Planar Laser-Induced Fluorescence (PLIF) Wall temperature measurements via Laser
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research environment at the interface of biology, chemistry, and artificial intelligence. The project is led by a multidisciplinary team specialized in cell image analysis and multimodal modeling, providing
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carbon materials for therapeutic and preventive biomedical applications, and for imaging. The immobilization of bioactive molecules on carbon nanomaterials and other materials also allows their use as
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using imaging and behavior platforms at SPPIN. This project will allow the control of MeCP2 expression in order to optimize the efficacy of RTT gene therapy, while establishing a modular framework for
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and image analysis - Knowledge in in vivo physiology (e.g. calcium imaging) and bioinformatic analysis - Ability to conceive, execute, and complete research projects - Ability to design experiments and