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Field
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objective to design a stable CO2 gas-diffusion photoelectrochemical cell to reduce CO2 using molecular catalysts only made of abundant elements. The project aims at integrating highly active CO2 reduction
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spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
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to challenges of societal relevance. About the research project The pace of the transition to a fossil-free transport sector will depend on many factors, such as the vehicle and infrastructure design, how it
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to be part of designing next generation mobile communications system? Please consider to apply for our open Postdoc position in 6G radio digital twin (RDT)-assisted situation-aware integrated sensing and
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experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory
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will work in the group led by Professor Paolo Monti, whose research focuses on transport network design, resilience, and AI-driven network automation for 5G and 6G infrastructures. About the research
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, including diagnosis, molecular interpretation, treatment selection, and longitudinal care. This may include: Multimodal language model architectures Integration of clinical context, biomedical literature
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of architectures for robust and scalable quantum information processing. These projects will involve a combination of analytical and numerical approaches and will connect closely with ongoing
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computing and quantum advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum
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physics-based battery modelling, battery ageing analysis, battery management systems, electrochemical characterisation, or related areas. Experience in designing and analysing battery experiments, including