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. Such an achievement would enable the measurement of atmospheric compositions and even the search for potential biosignatures, marking a monumental leap in our understanding of planetary systems beyond our own. However
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(R1) Positions PhD Positions Application Deadline 26 Mar 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded through the EU
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. L'objectif est d'explorer des compositions monophasées intégrant cinq cations ou plus, de rayons ioniques et valences différentes, substituant les sites A et/ou B de la structure pérovskite. L'étude a pour
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laboratoire de pointe. Le travail de thèse portera en particulier sur leur composition inorganique et organique, espèces solubles, métaux et isotopes, qui ont une incidence sur les impacts écologique et
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permettent une cartographie tridimensionnelle de plus en plus détaillée de la structure et de la composition des panaches de pollution, autorisant une observation directe de leur dynamique, de leur mélange et
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complete pollen analysis on target sites • Reconstruct the history of plant composition and abundance. The candidate will produce maps of regional landscape openness and types of forest cover over the last
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PhD Positions Application Deadline 25 Feb 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 38h Offer Starting Date 15 Mar 2026 Is the job funded
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Research Framework Programme? Horizon Europe – COFUND Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project will be conducted at the Institut des
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elements, such as granules or powder, for sorting and reuse. This applies to materials like glass, plastics, aggregates, composites, and rubber waste. Since this stage is energy-intensive, recycling crushed
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 29 days ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional