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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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affected by recurrent drought events. A deeper understanding of the molecular mechanisms and key factors underlying drought tolerance and interactions with beneficial microorganisms—particularly with regard
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of data, services, interaction devices, and use cases influence the evolution of software and systems to guarantee the essential properties such as reliability, performance, autonomy, and adaptability
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of the interaction between the CO2 injected in geological storage reservoirs and the surrounding rocks, which should act as sealing barrier, to the CO2 migration and leakage, and guarantee long-term storage security
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development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
into the software stack for these applications. This PhD thus provides the unique opportunity to discuss with scientists from other fields and to improve their workflows through IA research. Interaction with
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3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development of estimation algorithms, use of observers
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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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allow researchers to explore alternative approaches. Target trial emulation is a structured framework to design observational studies that mimic randomized controlled trials, while reducing methodological