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collaborative research project on the topic of neuromorphic photonics using organic materials. Research activities include: - Design and modeling of integrated photonic components using electromagnetic simulation
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: inverted-microscope imaging, organic-matter localisation, X-ray tomography (CT-scan) before and after dissolution. • Design and run CaCO3 dissolution experiments: O2 flux and pH measurements using
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microbiology and structural biology; experimental design and execution; scientific literature research and data mining; molecular biology/genetic engineering (cloning, subcloning, mutagenesis, construction
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. The candidate will be hosted within the Molecular Chemistry and Macromolecular Materials (C3M) department at CNRS-ICMPE, a multidisciplinary research environment dedicated to the design and synthesis of advanced
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. The doctoral research is part of the TIRIS Scalingup Microcoredeal project, which aims to develop micro-models with a focus on designing and fabricating models that bridge the gap between laboratory settings and
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Research Infrastructure? No Offer Description This project forms part of Nantes University’s ‘Ouverture’ Project and, more specifically, the Open Innovation Collective on Sustainable Water Management – which
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high-technology group operating in the aerospace, space, and defence sectors. The company designs, manufactures, and supports cutting-edge systems and equipment for civil and military applications. As
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 27 days ago
have been proposed in the literature to address these errors. The first consists of avoiding error-prone patterns by designing constrained DNA sequences, such as limiting homopolymers or enforcing
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perfusion and mechanical stimulation in tumor tissues to investigate their poromechanical properties and optimize molecular transport within explants. The successful candidate will be involved in: - Designing
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intelligence, as it develops model learning methods based on optimization, together with predictive validation procedures designed to assess the generalization ability of models on new data. Current approaches