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for detoxifying and transforming heavy metals under environmental or engineered conditions. The successful candidate will contribute to ongoing projects and develop independent lines of investigation within
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ability to work collaboratively in a multidisciplinary research environment. Preferred Skills: Experience in graph-based learning, attention mechanisms, and transformer architectures applied to chemical
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., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer
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biochemical reactions to scale-up and 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
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biochemical reactions to scale-up and 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
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. Fluency in English and a proven ability to write scientific articles are also mandatory. The post-doctoral fellow should be an effective team player to interact constructively with the interdisciplinary
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undertaking independent 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
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Organizational Qualities: Ability to transform complex data into actionable insights for research and decision- making. Capability to produce high-level publications and present research findings at international
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engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations to propose new original alternatives in terms of efficiency, environmental friendliness, and
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system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend transformer-based architectures to create a powerful tool for understanding and predicting