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transformer-based architectures to create a powerful tool for understanding and predicting bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models
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technologies. The project focuses on exploring microbial communities and their molecular mechanisms for detoxifying and transforming heavy metals under environmental or engineered conditions. The successful
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postdoctoral researcher will focus on the development of innovative high-temperature processes for the transformation, upgrading, or enrichment of mineral resources, particularly those derived from complex
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computational power and the increasing availability of large volumes of remote sensing data with finer spatial and temporal resolutions have significantly transformed the way we approach climate and weather
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validation of process engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations in order to propose new original alternatives in terms of efficiency
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-linked research projects funded by the OCP Group.The postdoctoral researcher will focus on the development of innovative high-temperature processes for the transformation, upgrading, or enrichment
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health. Predictive Modeling Skills: Ability to develop predictive models and simulation tools to assess the impact of urban interventions on health. Smart City Experience: Experience in developing smart
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neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view learning, transfer learning, and data fusion techniques to integrate heterogeneous omics datasets
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ability to: Design, implement, and validate an experimental photocatalytic measurement setup Perform conversion measurements at laboratory scale Synthesize and develop new catalytic materials Characterize
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research, managing research activities of Master and supervising PhD students. Fluency in English as well as a proven ability to write scientific articles are also mandatory. The post-doctoral fellow should