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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
communication and information management skills We offer: A varied and challenging job within a high-caliber network from politics, science, business and society Work in national and international networks with
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: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 1 day ago
transfer approaches is also ongoing within another ALAMOD partner team in Nancy (UMR BEF). Building on this work, the recruited researcher will be expected to replicate this work on tropical soils, in order
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell
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”, you will prepare a PhD on how we exert cognitive control in our aging, digital society. Cognitive control allows us to flexibly adapt to our ever-changing environment. However, one of the greatest
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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other Participation in ensuring operational and
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team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data
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with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data modelling, consumer