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Field
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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participate actively in staff trainings and development projects based on your interests and needs. We value work-life balance and well-being in all aspects of life. We work in a hybrid model, with the primary
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recognition, polyp detection, or tissue characterization 3D reconstruction or geometric modelling from medical images Translational research in collaboration with clinical partners Full details of the role and
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forces—such as those predicted by physics beyond the Standard Model. Distant, coupled microwave optomechanical systems can also be utilized for quantum information transmission. In this project, two
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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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) integrating blockchain systems into AI-driven monitoring, predictive analytics, and digital twins (virtual models of CO2 conversion processes that mirror real-world performance) to support real-time
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record in studying humans and machine learning models, in the context of human social behaviour, learning, decision-making, or a related area. A proven track record of publishing work as lead author in
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of the continuum equations governing the mechanics of fluids and soft solids. Ability to design theoretical models and carry out appropriate analytical calculations to achieve the proposed objectives. Experience in