Université Paris-Cité PhD- Léo Minglu Li
The HEAL group congratulates Léo Minglu Li, who has obtained a funded PhD position via Université Paris-Cité to explore the plastid proteome of the transformable dinoflagellate Amphidinium carterae.
The HEAL group congratulates Léo Minglu Li, who has obtained a funded PhD position via Université Paris-Cité to explore the plastid proteome of the transformable dinoflagellate Amphidinium carterae.
The HEAL group congratulates Louis Graf on obtaining a JGI New Investigator Grant to sequence the genomes of four phylogenetically close, but geographically distant, members of the Chlamydomonadales from the Arctic and Antarctic Oceans.
New success for the iGEM team of Sorbonne Université: they received the Best Plant Synthetic Award! After one year of hard work in parallel of their classes and internships, our students (mostly from BMC and BIM master) received the Gold Medal for their project NAWI during the final conference (Grand Jamboree) held at the Paris Convention Center on October 26-28. They were also nominated for Best Education and Best Presentation prizes out of 350 teams. Units implicated from IBPS: LCQB and LBD. Co-PIs: Frédérique Peronnet, Guillaume Garnier, Marco Da Costa, Pierre Crozet.
Salomé Nashed, PhD student in the Genetic Networks team, has been rewarded with the “prix Jeune Talent France L'Oréal-UNESCO pour les Femmes et la Science”. Congratulations Salomé!See article at SU here.
In parallel with her final year of PhD at the LCQB, Jeanne Le Peillet has just won two prizes for her business project Beink Dream: the regional Pépite IDF Prize and the National Pépite France Prize. While developing her project, she keeps on producting commissioned scientific illustrations for publications, conferences, patents and funding applications here.Congratulations Jeanne!
Edwin Rodriguez Horta, former PhD student in co-supervision between the University of Havana and the LCQB, receives a research price of the Academy of Sciences of Cuba for his thesis work.
Predicting species-specific mutation effects is a major challenge in genetics. Using diverged sequences, we learn protein sequence landscapes, which predict tolerated mutations in a species like E. coli and capture interactions between mutations.See our article in Nature Communications.
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