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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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from École Normale Supérieure (ENS) de Rennes. The postdoctoral researcher will have the possibility to exchange with the groups of numerical analysis, analysis of PDEs, dynamical systems, probability
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features to make the simulation more realistic. Moreover, the postdoc will be encouraged to pursue analysis of a topic of their chosing in the ALERT group or to contribute to the development of new proposals
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of optogenetic systems to activate TBRA in specific cellular subpopulations. 2. Characterization of phase transitions • Analysis of EMT and mesodermal markers: Immunofluorescence to track key markers (TBRA, Snail
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hundreds of hours of exposure) in order to estimate systematic errors. - Develop open-source analysis pipelines for extracting diffuse emission from objects with very low surface brightness. Take into
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microscopy and electron microprobe analysis. This work aims to identify mineralogical and chemical signatures associated with the earliest stages of planetesimal differentiation. The researcher will also be
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of computational neuroscience concepts - Expertise in dynamical systems theory - Knowledge of machine learning - Experience with neural data analysis ### Technical Skills - Advanced scientific programming (Python
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review and experiments on operational systems. Analysis of results and drafting of an interim report. Implementation of new characterization systems. - Year 2: Experimentation and analysis of newly
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will participate in the Higgs boson pair production analysis exploiting the Run 3 LHC collision data collected by the ATLAS experiment and will contribute to the R&D of the ALLEGRO liquefied noble gas
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• PhD in environmental sciences, chemistry, biogeochemistry, hydrology, or a related field • Experience in environmental contaminant analysis • Strong data analysis and interpretation skills Preferred