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project aims to develop digital polymers capable of storing binary information at the molecular level. To achieve this, we will synthesize sequence-controlled polymers using a multi-step solid-phase
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C Moutou. This project aims at modeling the magnetic topologies and accretion processes of pre-main sequence low-mass (T Tauri) stars, monitored with the SPIRou near-infrared spectropolarimeter
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from multi-omics datasets (epigenomics, transcription, sequence). • Using representation learning (tensor factorization framework e.g., AVOCADO) extend the predictive framework allowing imputation in
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culture, DNA extraction, MinION sequencing, analysis of strain viability and fertility) -Scientific publication writing. -Implementation of new approaches in evolutionary genomics. -Implementation
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data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded databases