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models is a strong plus Familiarity with super-resolution imaging techniques and/or proteomics workflows is a strong plus Strong computational and organizational skills, with attention to detail High level
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of electrical energy systems. Its activities can be summarised by the following keywords: electrical energy, materials, innovative processes and systems, modelling and design. With over a hundred permanent staff
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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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, the process of host infection remains poorly understood at the molecular level. The fd phage, which specifically infects Escherichia coli, has been used as a model for studying these viruses. This phage
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BMAD simulation tool, an advanced open-source particle tracking framework, the doctoral candidate will perform start-to-end simulations, benchmark physical models, and explore tolerance studies. Specific
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for epithelioid sarcoma, by characterizing epithelioid sarcoma models through state-of-the-art sequencing and molecular profiling techniques. The successful candidate is expected to develop experimental approaches
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the candidate will not be responsible for all the modeling, he/she will be expected to develop a critical mindset and a solid understanding of the generated data to actively participate in the interpretation
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macroscopic designs for soft-tissue healing. The project will be conducted using in vitro models of bacterial adhesion and fibroblast proliferation in collaboration with University of Gothenburg and in vitro
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
solution for deploying accessible embedded AI-based real-time audio DSP systems will be explored. Smartphones provide a large amount of computational power (including AI accelerators in some recent models
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for a motivated student with a strong theoretical background in human visual perception and visual recognition models, holding a Master's degree in cognitive psychology/neurosciences. The candidate should