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Field
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Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
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management of brain diseases. In the present project, we work of next generation AI models to extend the molecular imaging capacity of Magnetic Resonance Imaging (MRI). Building on the various contrasts
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research prototype, a system designed to integrate GDPR compliance directly at the operating system level. Main tasks : - Becoming familiar with the rgpdOS prototype - Designing BPF functions to extend
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. The inventory is still ongoing, but our field is now heavily investing in the characterization of the physical and chemical properties of these objects through the use of sensitive imaging cameras and
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will integrate multimodal data: imaging, signals, Omics, clinical, and contribute to analyses for risk prediction. # Experimentation & imaging You implement acquisitions (optical mapping, micro-CT
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of the active zone (AZ) via phase separation and endomembrane interactions. By combining molecular, imaging, and behavioral approaches, we aim to link synaptic remodeling with sleep and resilience
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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analyze imaging data. Disseminate findings through peer-reviewed manuscripts, conference presentations, open/reproducible code, and the development and distribution of Siemens Work-In-Progress (WIP
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analyze imaging data. Disseminate findings through peer-reviewed manuscripts, conference presentations, open/reproducible code, and the development and distribution of Siemens Work-In-Progress (WIP
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neurophysiological methods. We will use an innovative combination of in vivo optogenetics targeting activated cells, fluorescent tracers, advanced immunohistological and molecular imaging techniques, fiber photometry