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the collaborative HFSP project outlined below, contributing to the design and execution of experiments aimed at identifying the behavioural and physiological mechanisms that facilitate nematode adaptation to arsenic
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of materials. The main activities will include: – adapting the generative LegoXtal code to the design of MOF coordination polymers and porous materials by assembling elementary molecular bricks in the generation
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or later depending on your availability. Activities : design of a new mathematical method monitoring and study of publications relevant to the field programming/coding in Python (Pytorch) presentation
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engineering training in the areas of design and development, covering subjects such as material selection, mechanics, dimensioning, and modeling. Where to apply Website https://www.galaxie.enseignementsup
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tools Computer science » Programming Computer science » Systems design Researcher Profile Other Profession Positions Other Positions Application Deadline 3 Apr 2026 - 16:00 (Europe/Paris) Country France
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interactions by exploiting spatial transcriptomics data and network-theoretic approaches. Contract start date: May 1st 2026 or later depending on your availability Activities : - design of a new mathematical
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Innovation. The project focuses on detecting radioactive contaminants in liquids. The postdoctoral researcher will participate in the production of materials and contribute to the development of dedicated
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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 The postdoctoral researcher will design
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5300-GERLOO-006/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research FieldEnvironmental scienceEducation
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randomly oriented in the absence of an external electric field.. Recently, the high-entropy oxide (HEO) approach has emerged as a promising strategy for designing high-performance relaxors. The intrinsic