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of Chemistry for an excellent chemist in the field of metal-organic frameworks (MOFs). MOFs are the largest family of crystalline nanoporous material that is receiving global research attention for numerous uses
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Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
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project with experimental, numerical in collaboration with other RTG members (fellow students and supervising professors) implementation of the planned research program, evaluation and interpretation
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to juggle numerous conflicting priorities and maintain composure in the face of frequent interruptions and shifting deadlines. This role will also interact with a wide range of audiences; therefore, diplomacy
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aspects of data science. This position will focus exclusively on research and will not have teaching or service obligations. The successful candidate will devise and conducting numerical experiments
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Department of Geography and Spatial Planning (https://dgeo.uni.lu ) and participate to its activities Your profile Master's degree in human geography, spatial economics, or a quantitative social science field
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background in petroleum engineering, geology, geophysics, or related fields. Knowledge of reservoir engineering (especially numerical simulation) and programming skills is preferred. The objective
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analysis and numerical modelling. Experimental work will be conducted at the MESODROME tidal flume facility at the campus of the University of Antwerp, which is an experimental facility consisting of a
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numerical results is desired as this is a multi-partner project Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7588-CARLEB-009/Default.aspx Work Location(s) Number of offers
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scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/spms Join the research group of Pinaki Sengupta at SPMS. We are seeking a Research Fellow to contribute to a project