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cell tracking to identify the progenitors of these cells during regeneration. • Develop and apply a recombinase-based cell barcoding strategy to trace cell lineages during leg growth and regeneration
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analysis of data from the ATLAS experiment. The L2IT team plays a leading role within the ATLAS collaboration in the reconstruction of charged particle tracks using geometric deep learning (GDL). The person
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(fMRI), and eye-tracking measurements (main task) – Data analysis (main task) – Interpretation of results (main task) – Dissemination of findings through the writing of scientific articles (main task
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-France region. IEMN's microfabrication and characterizations facilities are at high-rank EU-level. IEMN is a 500+ people institute with 109 professors/associate-processors, 45 tenured CNRS researchers, 100
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focuses on understanding magmatic processes, examining everything from the structure of the deep mantle to surface volcanic activity. The Laboratory consists of about 60 tenured researchers. The research
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physics. • Strong academic track record and excellent interpersonal skills. • Ability to work effectively within a collaborative research environment. • Excellent command of English, both written and spoken
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The new rail line between Montpellier and Perpignan
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cataloguing of relevant case studies, combining satellite observations, reanalyses, and geostationary imagery to track the formation and evolution of cirrus under strongly perturbed conditions. Building
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data processing and/or modelling; Ability to work in interdisciplinary teams, and excellent communication skills in English; A demonstrated track record of publishing in international peer-reviewed
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integrated Optics / Photonics or a related discipline. ● A strong track record demonstrating excellence and creativity. ● Experience in design and simulation of integrated photonics components, including