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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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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
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students, and supervising PhD students. 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
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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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, FactSage) to simulate vanadium phase behavior and guide process improvements. Performing advanced characterization of vanadium-bearing materials to understand their transformation and recovery mechanisms
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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