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the ANR. PhD student in Graph Signal Processing for the Characterization of Multipolar Electrograms of Persistent Atrial Fibrillation. Responsible for a significant proportion of brain strokes, atrial
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cellular signaling remains a key challenge in biology and is at the heart of the project. The PhD student will be in charge of the molecular modelling aspects of the multi-scale approaches undertaken by
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available for onsite translation, how the axonal and dendritic RNA landscapes are locally organized and regulated to integrate external local signals is to date unclear. The objective of the PhD project will
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6 Sep 2025 Job Information Organisation/Company CNRS Department UMR 5203 Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project will be carried out in the "Meiosis and
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Description The team studies the systems that maintain genetic information in bacteria. During the cell cycle, the processes of DNA replication, DNA segregation and cell division must be coordinated to ensure
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astrophysics. The goal of this PhD is to contribute to the theoretical efforts in this field, to advance our understanding of the acceleration processes from first principles, and to model their phenomenological
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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techniques, or a profile with initial training in biology/microbiology with a minimum of skills in physics and engineering (instrumentation, signal processing), with a strong desire to invest in engineering
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adipose tissue. In particular, we will study the role of different membrane receptors and their signaling pathways in the browning process. The various techniques used will include cell biology and genetic