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for linking task planning and ontology-based knowledge representation within the framework of the Humfleet project. His role will be to set up a semantic and automated representation of a fleet of heterogeneous
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timescales. This work will leverage a suite of coupled models in the study of the representation of coastal sea level and the factors that influence mean state and time-varying biases. Recent work has revealed
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project combines techniques from machine learning, natural language processing (NLP), and knowledge representation to support legal scholarship and decision-making. The position entails close academic
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) in the framework of the ANR SyndiCARE project. The SyndiCARE project aims to provide new knowledge to enrich the analysis of the conditions under which trade union mandates are exercised, and of
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can
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techniques (e.g., SEM, XPS, ICP, XRD, TEM, or similar) evidenced by data collection or analysis in publications/reports. • Knowledge of corrosion science, demonstrated by coursework, thesis/dissertation
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phoneme-level representations to improve intelligibility and robustness in challenging acoustic environments. Your work tasks In this role, you will be responsible for developing and implementing advanced
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on processing and developing representation models for diverse data sources, including time-series data (EEG, video, mass spectrometry) and chemical data (molecular graphs, SMILES strings) related to odorant
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. The post-doctoral student will be responsible for implementing the display and visualisation of spatial and urban data, carrying out the study and evaluation of these representations, and contributing
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., knowledge representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation of geographic categories and processes. While we welcome applicants from a broad range of