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geosystem is complex and the economic risk associated with exploration is higher. To help reduce this risk and accelerate exploration, the GEOTHERBAMINE project (GEOTHERmal energy in the MIning BAsin) aims
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across 4 institutes and 7 research units. Doctoral students are enrolled at the University of Montpellier or the Institut Mines Telecom . The school works in close collaboration with the University
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for the history of ideas. The candidate will work on a corpus of 19th-century German texts, journals, and correspondences, combining historical and philological methods with digital approaches. During the first
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: An analysis of audience and critical feedback. The methodology will be inherently interdisciplinary and comparative, drawing on a varied corpus of published and unpublished texts, theatre archives, press
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
constellation of naturalists, philosophers, and scientists engaged in transnational knowledge exchanges. Projects may examine the circulation of ideas through texts, correspondence, and other media across borders
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, metabolisms, genome mining…) will be prioritized. Experience in native protein purification, biochemistry, and structural biology is welcome. Specific Requirements Given the nature of the European project
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necessary to robustly extract the various constituent elements of the comic book (detection of panels and speech bubbles, text recognition, segmentation, and character identification), and then to structure
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contemporain, Musée d’Art et d’industrie, Musée de la Mine). The consortium, resolutely open, is built on an ambition of academic and cultural influence. The scientific direction is led by Anne Damon-Guillot
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assessments (maximal voluntary strength, walking tests, seat-and-go, balance, SPPB, etc.) would be a plus. Data analysis: Ability to process large text corpora and longitudinal data in the social sciences, at a
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation