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surface reconstruction and functionalization, enabling greener and more selective fluorination processes for industries such as batteries, pharmaceuticals, and agrochemicals. The scientific theme centers
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conditions such as cancer, yet the underlying mechanisms remain poorly understood. Understanding how disruptions in these processes contribute to cancer development and cell fate decisions is a central
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interactions. We are looking for an enthusiastic and versatile postdoctoral researcher to apply existing bioinformatic methods and develop new pipelines to analyze and interpret high-throughput sequencing data
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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simple encoder. A possible approach will thus consist of extending this model to be able to map multiple contours, and to process data at multiple resolutions. We can also rely on other recent methods
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school, 1-2 workshops, 2 research pairs, and other parallel activities such as masterclasses, conferences at FRUMAM, etc.). It is organized alongside an environment program that invites collaborators, PhD
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: The postdoctoral researcher may be required to supervise the work of interns or PhD students - Sampling and measurements in the field, - Acquisition and processing of microbial ecology data (genomics and