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emerging models by collaboratively exploring various computation models leveraging physical devices properties. This PhD work will focus on FPGA devices in order to build an accelerated spiking neural
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of large datasets, for example: to integrate biological/genomic data with biogeochemical measurements, biogeographic, phylogenomic, comparative, time series (community or population) modelling/analyses
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beetle as a model system, the candidate will test the hypothesis that sexual selection in females promotes the evolution of female reproductive traits. In addition, the project will take a broader
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potential. The aim of the PhD project is to discover new microproteins involved in the regulation of animal reproduction and fertility, using Drosophila as a model system. By integrating genetic, proteomic
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model that explains lattice distortions and branching mechanisms. (4) Analyze experimental data using advanced computational tools and present results in research meetings and scientific publications
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interpersonal skills and be rigorous and organised in his/her work. Experience in molecular/cellular biology and murine models is required. Experience in omic approaches,single cell RNA-seq technologies and
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funded by the French National Research Agency (ANR) and involves five partners: the BSC – UMR7242 laboratory, the IGBMC (UMR7104) and TBI (INSA Toulouse) for molecular modeling, as well as the LSMIS
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-Cyclin B complex. This project examines how the cell cycle mechanism has adapted to regulate meiotic divisions in the specific context of female animal meiosis. It focuses on the role of Cyclin B3
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formulation approaches in complex media. Thanks to this interdisciplinary expertise, CBMN is a highly attractive and recognized research hub, both regionally and nationally. More information: https://www.cbmn.u
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adapt their behaviors when detecting chemotropic molecules. These cues are key to adjust a variety of complex cell behaviors ranging from axon pathfinding, neuronal migration and angiogenesis during