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Inria, the French national research institute for the digital sciences | Montpellier, Languedoc Roussillon | France | 3 months ago
postdoctoral researcher to work on the interpretability and explainability of Vision-Language Models (VLMs) for remote sensing applications, with a specific focus on Sentinel-2 data. This research aims
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analyse data, interpret and present results to a high standard using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C
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live in. Your role The CLAIM and ICR groups are seeking an outstanding postdoc to strengthen their research teams with expertise in Large Language Models, more precisely in Agentive Reasoning and LLM
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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, designers, developers and computational linguists Ability to meet deadlines and demonstrate methodological, organised, pragmatic and effective approaches to your work Fluency in English is required; knowledge
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language models Proficiency in Python Ability to read and synthesize model training approaches enabling alignment with human models Ability to work in a team Fluency in English Inclusive attitude Desired
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management and territorial planning. - Proficiency in GIS tools (QGIS). - Strong knowledge of spatial modeling tools, software, and programming languages, particularly Python. - Language skills: Proficiency in