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Field
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, committed prospective plant and soil modellers to contribute to a multi-partner international project ‘Climate-resilient crops with improved phosphorous efficiency through beneficial fungal interactions
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The AI4X Postdoctoral Fellowship supports outstanding early-career researchers who leverage Artificial Intelligence (AI) to accelerate breakthroughs across science, technology, engineering, and
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17 Mar 2026 Job Information Organisation/Company KAUST Department Physical Science and Engineering Division Research Field Engineering » Chemical engineering Engineering » Materials engineering
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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harmonisation, and next generation research infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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research under PI mentorship. Design, execute, and analyze translational studies focused on hereditary hearing loss and LOXHD1 dysfunction. Develop and characterize preclinical models, including mouse models
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Project Overview The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal
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-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold