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of Food and Nutrition Science, Department of Life Sciences. Become part of our innovative group and contribute to exciting research in nutritional metabolomics within a collaborative and dynamic environment
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are based on the finite element method and advanced material modelling. Work duties The main duty is to conduct research. The project is primarily computational and includes further developing and validating
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for cross-border cooperation 2021-2027 in the northernmost part of Europe and Sápmi. InAFQual addresses the challenges to develop affordable, innovative solutions for food quality monitoring by integrating
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intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and scientific applications. About the research project You will work in Julian Togelius' new research
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to use data and modelling to make historic buildings energy efficient – without compromising their cultural value? Join the research project DASHER at KTH. DASHER (Data-driven Structured Historic Energy
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the project with collaborators without needing to calculate any of it yourself. You are used to work in an interdisciplinary environment and to communicate with researchers from various backgrounds. And
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Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world leading groups in functional programming and formal
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validation, the research will identify the structural and chemical features that govern their performance. Building on these insights, computational methods will be used to explore and design new composite
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conditions, including charging protocols, temperature and mechanical loading, influence battery performance, degradation and lifetime. The work combines physics-based modelling with machine learning
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Science for Life Laboratory pursues interdisciplinary research in cell and molecular biology. The group is led by Wei Ouyang and combines wet-lab work with automated experimental platforms and AI-driven