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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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experience with either in vivo extracellular electrophysiological recording or with in vivo fiber photometry; - have an academic track record proven by publications in the field of circuit neuroscience
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. - Experience in coding (python or other computer language). - Proven track record of publications in peer-reviewed journals. - English (written/oral) level of at least B2 (according to the common European
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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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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
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to track and quantify the fate of rhizodeposited carbon. o Among the processes that contribute to rhizodeposition, a significant quantity of low molecular weight organic acids is injected
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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