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Field
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imager based on a ,high-density array of transparent field effect transistors (GFET) for tracking in-vitro activity evolution in neural networks. The candidate will develop the complete chain, from device
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: the Center for Nuclear Sciences and Material Sciences (CSNSM), the Laboratory for Imaging and Modeling in Neurobiology and Cancer Research (IMNC), the Orsay Institute of Nuclear Physics (IPNO), the Linear
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live in. Your role The successful candidate will support innovative research on 3D models and Calcium imaging: Conduct wet-lab research in melanoma, including the use of 3D models Document performed
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-supervision by a doctor and a statistical/machine-learning researcher is planned (iBV / Inria) 1- Context and Objective: Monitoring tumor response using clinical imaging, such as CT or FDG-PET, has become a
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, including basic processing of photoemission data, as well as more advanced processing for HAXPES data or photoemission imaging. *Participate in measurements at large-scale facilities such as synchrotrons
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(dendrites) through electrochemical measurements and X-ray imaging. A second part of the project will involve close collaboration (joint supervision) with the POLYMAT polymer research center in the Spanish
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towards scalability and error correction, we are adopting a measurement-based computing paradigm. This model assumes that it is possible to generate light states in which a large number of photons
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communication skills and a collaborative mindset Full professional proficiency in English Good to have: Hands on experience with at least one paradigm for quantum optimization with quantum computing (QAOA
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optimal patient care and appropriate follow-up: clinical examination, electroencephalographic (EEG) recordings, magnetic resonance imaging (MRI), etc. Scalp EEG remains the most widely used examination
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, IRCAN, ISA). His/her group will leverage large-scale, high-dimensional datasets—such as genomics, transcriptomics, proteomics, imaging, or single-cell data—to uncover fundamental biological mechanisms. We