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? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
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of rural development with a focus on energy transitions. They will be involved in empirical work linked to WP6 tasks, and develop mixed-methods grounded in qualitative research and comparative analysis
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Chalmers University of Technology focused on the recycling of carbon fibre composites. The project aims to develop a novel method for recovering fibres using magnetic fields, with the goal of lowering
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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, providing a deeper understanding of how molecular interactions, biochemical processes, and cell-to-cell communication collectively shape development and function. Additionally, computational methods now allow
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computational simulation techniques are used. The research is applied to understand orthopaedic problems and to develop better methods to improve tissues regeneration. The group encompasses about 15 scientists
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directed evolution methods to improve the activity of selected enzymes.The position will involve research trips to collaborating partners and participation in conferences. The tasks include: to actively
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changes and established markers for Alzheimer's disease. The project may also include machine learning methods to estimate individuals' biological age. The project is based on existing data from a prominent
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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observations of the upper atmosphere and ionosphere. The Swedish Space Corporation (SSC), with its facility Esrange, provides services and infrastructure for access to space. The Department of Computer