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Field
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PhD thesis Resource-Aware AI for Next-Generation Networks. The PhD project will investigate resource-aware Artificial Intelligence (AI) mechanisms for next-generation communication systems. The research
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» Geological engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Background in civil engineering/geosciences, recommended in mechanics of geomaterials. A solid background in chemistry of
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construction and safety, building energy and installation, solid mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems. The research under
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systems that mechanically dewater the waste: the liquid fraction is sent to sewer for treatment and energy recovery, while the solid fraction is collected for composting or anaerobic digestion
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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may encompass elucidating microbial mechanisms that drive biodegradation of biomass-derived materials, using such mechanisms to inform the design of improved bio-derived materials, and engineering
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technician. The department conducts research and education in Arctic geology and physical geography. The department focuses on 1) the cryosphere and polar landscapes, 2) earth climate history from Holocene
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dedicated to a multitude of research projects to advance the field of vascular medicine. Research focuses e.g. on the cellular and immunological mechanisms of vascular diseases, namely atherosclerosis which
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hold an MSc in Earth science, environmental science, data science, physics, mathematics or computer science, with practical machine learning/artificial intelligence courses and relevant project and
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21 Feb 2026 Job Information Organisation/Company CNRS Department Institut des géosciences de l'environnement Research Field Environmental science Environmental science » Earth science Environmental