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Field
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turbulent plasmas and by phenomenological models. The overarching goal of this ambitious programme is to describe the acceleration process across length scales, in the turbulent flow, in the inner jet and in
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science, Ontology engineering, Computational geoscience, or a related field; a strong interest in conceptual modeling, semantic modelling, ontology engineering, formal logics or cognitive modelling, and some
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short-term physiological responses of tree species and modified long-term dynamics of the whole ecosystem. On the other hand, vegetation demography models are numerical tools formulating forest processes
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3 Sep 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Programming Computer science » Other Mathematics » Applied mathematics Physics » Other
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Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
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an understanding of the underlying magnetic processes through complex data analysis and computer simulations. You work in close collaboration with theoretical physicists to test models and develop new insights. Your
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 13 hours ago
of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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the fields of microsystem engineering, microdevices and microfluidics, intelligent systems programming and modeling, autonomous control and computer vision are preferred. The successful candidate should be