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in the Khaybar oasis during the Islamic period. The researcher will be hosted within the UMR 7298 team in Aix-en-Provence. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7298-DIAALB
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concepts into measurable, reusable methods. Context: You will contribute to the ERC Starting Grant GAMECHAR (Scalable AI-Driven Framework for Gameplay Characterization; https://cordis.europa.eu/project/id
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approaches, such as geophysical methods, to capture internal hydrological processes. The project is conducted in close collaboration with municipalities and international research partners, and results will be
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methods, which occur with aging and lead to altered long-range and local synaptic function and subsequent aberrant network excitability along with associated memory deficits. Specifically, the candidate
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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https
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using multivariate statistical methods, results that will be compared with other, independent temperature reconstructions, high-resolution palaeobotanical records, and vegetation modelling scenarios
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problem-solving attitude, with a hands-on approach to troubleshooting and method development. Documented experience in coaching/mentoring junior scientists (students, interns, junior PhDs). Innovation
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statistics of mean and extreme wind events over the Baltic Sea region. Tellus A, 67, 29073. https://doi.org/10.3402/tellusa.v67.29073 Björkqvist, J.-V., Lukas, I., Alari, V., van Vledder, P.G., Hulst, S
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. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key