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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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; expression and purification of proteins; structural determination to resolve active-site architecture; activity assays to quantify kinetics and selectivity under operationally relevant conditions; and multi
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analyses are required. An interest in, and preferably prior experience with, genomic analysis and bioinformatics is considered an advantage. We are looking for highly motivated, creative, and ambitious
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year. Working at the intersection of water engineering, environmental microbiology, robotics, and lifecycle analysis, you will evaluate autonomous underwater skimming robots that minimise energy use in
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efficiency, flexibility, and sustainability. Within this research project, Linköping University is collaborating with leading industrial companies to develop digital analysis and decision-support tools
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. This includes sample preparation, data collection, computational analysis, and 3D structure determination of protein macromolecules. Experience in cellular tomography workflows for EM analysis of cells and
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approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from
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crises (e.g., climate, pollution, biodiversity) from a broadly social cognition angle. Desirable research frameworks to explore these topics include cognition and emotion in judgement and decision-making
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sound like you? You should hold a Master's degree in spatial planning, urban and regional studies, policy and systems analysis, strategy and decision-making, infrastructure management and operations, or a
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analysis and determination of HIV clonality in HIV-infected cells to understand the mechanistic link between low-level protein expression and immune activation. Your Tasks: • Perform and analyze