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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 6 hours ago
at scientific meetings and conferences. References: [1] Preda C, Grimonprez Q, Vandewalle V. Categorical Functional Data Analysis. The cfda R Package. Mathematics. 2021; 9(23):3074. https://doi.org/10.3390
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studies atmospheric aerosol particles and their impacts on climate and air quality using in-situ and satellite measurements, process modelling, and global modelling. The group is part of the strategic
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teams or pursue their own research project or vision relevant to the department’s profile. The department develops mathematical, statistical, and computational methods for the analysis of complex systems
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data
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spans multiple interconnected areas: Development and operation of next-generation analysis systems for the High-Luminosity LHC era, including columnar analysis frameworks, scalable distributed computing
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data
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will specialise in organic residue analysis of pottery. By joining our team, you will have access to state-of-the-art facilities and be part of the internationally recognised BioArCh centre
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proof theory and functional and numerical analysis, through the semantics of differential linear logic and programming languages. In particular, this project seeks to lay the foundations for a
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transcriptomic analysis, multi-omic integration, and interpretation of developmental datasets. Depending on your profile, the balance between wet-lab and computational work can be adjusted within the scope
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and