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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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on next-generation communication and sensing technologies for enhancing safety and performance in intelligent networked systems. The appointee is expected to make significant contributions
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Biotech ; Nwaokorie et al. 2023 Front Bioeng Biotech ; Ingelman et al. 2024 New Biotech ; Ingelman et al. 2025 Microb Biotechnol ; Shaikh et al. 2026 ACS Sustain Chem Eng ; Re et al. 2026 Nat Commun
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mechanisms. Elucidating Cellular Networks: Linking sensory phenotypes with the molecular and biological functions of GPCRs. Nurturing Young Talent: Supervising and training chemistry and food chemistry
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cell biology. The post holder will work on an MND Association-funded project to map the interaction network of Annexin A11 and elucidate its role in neurodegeneration. The research aims to uncover how
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field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical skills in distributed AI/ML, networked systems, data management, and
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strategies aimed at reducing the climate impact of dairy production through feeding management. At least a basic understanding of feeding management. Strong interpersonal and communication skills, with a
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clinical partnerships. You will gain experience of research coordination, intensive patient and public involvement work, and strategic network building. You will contribute to the REPhRAME team’s
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shaving. Job description The rapid electrification of transport, buildings, and industry is creating unprecedented pressure on urban electricity networks resulting in Grid congestion. In particular
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unprecedented pressure on urban electricity networks resulting in Grid congestion. In particular, construction sites often require high-power charging in locations where grid connections are unavailable