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approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
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children learn new words not only by listening to a storyteller but also by processing multimodal signals such as iconic gestures and gaze direction. Using eye-tracking in both real-life and digital contexts
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to international law. Relevant practice experience will also be considered favourably. You possess excellent analytical and drafting skills in English. You are able to work effectively within a small, focussed
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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components, allowing analysis of wave propagation, reflection, and energy transport. In this project, Q-variables will be used to derive analytical expressions for kink-wave reflection and interaction terms
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physiology An interest in sustainable livestock production Good analytical, problem-solving, and organisational skills Ability to work effectively in an interdisciplinary and international research environment
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. Collaborate with international bioinformatics teams and technology partners to apply the latest analytical pipelines and emerging computational tools. Contribute to scientific publicationsContribute
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, and analytical expertise. You will work within an interdisciplinary and collaborative research team and help advance a new research agenda with scientific, societal, and policy relevance. More