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Centre National de la Recherche Scientifique - CNRS UMR 6614 | Saint Etienne du Rouvray, Haute Normandie | France | 2 days ago
governing reactive hydrogen-air flows interacting with walls. PhD Objectives The objective of this PhD thesis is to implement a series of advanced laser diagnostics to analyze in detail the impact of
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interactions between inclusions and the carrier fluid), as well as skills in statistics and stochastic modeling (applied mathematics or statistical physics). The candidate must be at the interface between
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project is part of a collaborative research program at the interface
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database modeling, creation and implementation of functionalities and interactive interfaces, case study development and analysis, and repository management and documentation of technological processes
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within the MERLN Institute, working at the interface of biology, engineering, and medicine. We are seeking two highly motivated PhD candidates to join the MERLN Institute for Technology-Inspired
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13.04.2026 Application deadline : 27.04.2026 The Link Lab at the Cluster of Excellence "Controlling Microbes to Fight Infections" (CMFI) at the University of Tübingen advertises a PhD Position in
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project is part of a collaborative research program at the interface between chemistry and biochemistry. It is structured around two parallel PhD projects: one in chemistry (the position offered) and one in
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navigation depends on multisensory integration to generate internal representations of space and direction, including head direction (HD) signals. This PhD project aims to dissect multisensory (e.g., visuo
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Scale Characterisation" is studying materials at the atomic level. The PhD candidate (m/f/x) will be funded by the European Research Council (ERC) consolidator grant ‘INTERACT’ for three years under
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computational capabilities in Sweden. This PhD position is part of the DDLS research area Evolution and Biodiversity. Data-driven evolution and biodiversity concerns research that takes advantage of massive data