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language processing (NLP) to study cognition, the brain, and behavior. He conducts neuroimaging experiments, develops NLP tools for the memory research community, and collaborates with clinical colleagues to study
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plus Proficiency in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research
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in one) will be a plus. Background in statistical learning, data analysis, or cybersecurity. Programming skills Proficiency in English [Optional] Experience with NLP or text analysis [Optional
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of intangible cultural heritage Experience in integrating computer vision and NLP approaches for multimodal cultural heritage applications Strong research and analytical skills, with experience in data collection
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Language Processing Master's degree, or Computer Science Master's degree with a strong background in NLP. Background in Astronomy or Heliophysics will be a plus. Website for additional job details https
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and experience with modern deep learning frameworks (e.g. PyTorch) Solid background in machine learning, ideally with experience in NLP, large language models, or sequence modeling Interest in clinical
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
, alignment, and modelling components; Experimental analyses demonstrating the usefulness of the proposed methods for sign-to-text translation; Publications in leading conferences and workshops in NLP, computer
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projects in at least one of the following areas: machine learning, NLP/LLM, data analysis, software development, or medical data processing Willingness to familiarize yourself with medical standards, data
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which the successful applicant will collaborate: 1.1. Name of the project: “SAFEWORDS: Language Anonymization with Ethical and Legal Safeguards through NLP”. 1.2. Reference: AIA2025-163322-C63. 1.3