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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
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diversification and change we see across languages today. Job description This 4-year PhD project will use group communication games and artificial language learning experiments to investigate the role of social
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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: machine/deep learning, numerical modelling, statistics, optimisation, scientific computing • Ability to work across disciplines and collaborate with academic and industrial teams Desirable: • Experience in
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. The candidate will pursue research in machine learning, numerical optimisation, and process systems engineering, and collaborate with academics from the Department, the Sargent Centre, and industrial
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are specifically encouraged to apply. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and technologies. Qualification requirements PhD
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evasion mechanisms of pathogens. This project directly aims at tackling this question and will be done in collaboration with the Link laboratory. The core of this work will be to screen bacterial libraires
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be responsible for advancing the core research streams of the ERC LEARN project. Key responsibilities: In close collaboration with the PI and the other members of the research team, the doctoral
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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users, thanks to the use of machine learning tools and techno-economic analyses. This project is aligned with the sustainable development goals (SDG) 7 and 10 of the United Nations, by promoting a low