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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 13 days ago
combining spatial transcriptomics with BCR/TCR repertoire sequencing Producing and screening recombinant monoclonal antibodies (rmAb) from BCR sequences identified in tissues Testing antigen specificity
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to unravel the interconnection between biomolecular condensates and the surrounding cellular environment. By combining advanced imaging with innovative optogenetic approaches to manipulate organelle
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-time postdoctoral grant in Probability and Statistical Physics - CY Cergy Paris University Mathematical modelling of complex systems often involves combining deterministic structures with probabilistic
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electrogravimetric response. To do this, we will implement a multi-stage approach, combining the development of model electroactive materials, their physico-chemical characterisation, and the advanced exploitation
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parameters and identify the most realistic combinations • based on the analyses carried out, managing publication projects in international journals The post-doctoral work will be supervised by Jean-Christophe
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deep neural activity, using methods that combine physics (waves in complex media) and computational approaches. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8552-SYLGIG-011
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. Addressing these challenges requires advanced sensing systems that complement visual crop inspection and enable precise, plant-level phenotyping. MULTIFUSE aims to develop a multisensory system by combining
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systems. Laboratory simulations under astrophysically relevant conditions will provide key insights into asymmetric photochemistry and post-irradiation alteration processes. Where to apply Website https
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combine the flexibility of neural networks with the statistical robustness of linear mixed models to tackle one of biology's most fundamental questions: how do genetic variants determine phenotypes? The
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a