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, signals, measurement data, and biomedical data. Current research topics include: causal analysis in time series complex systems and networks, chaos, and fractal-based methods, EEG analysis, computational
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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics
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acquisition). Statistical analysis and computational modelling of cross-linguistic data from a developmental project investigating the emergence of an indefinite article in Hindi. Oral narratives have already
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career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results from university-level courses taken List of publications
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are flexible, but September – October 2026 is preferred. The successful candidates will be members of the Centre for Topological Data Analysis with responsibility for carrying out research in applied
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an interdisciplinary group of stakeholders to co-develop a weather information service from the bottom-up. Climate shocks are a significant cause of livestock mortality, acute malnutrition and chronic poverty among
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workflows, and immersive or experimental interfaces Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows Prototype and evaluate
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experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days 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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. The opportunity: We are looking for someone to analyse environmental soundscapes using signal processing or machine learning. Initially, you will work with underwater passive acoustic sound data, and later may