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applications Multimodal data integration and prediction, including clinical, medical imaging, and sensor data (e.g. ECGs) The PhD student will have the opportunity to conduct both methodological and applied
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Are you passionate about applying computational approaches to solve problems within chemistry and biology? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a
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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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data sources to answer important population-level questions that will inform health technology assessment, policy, and practice. The successful PhD student will be embedded within an interdisciplinary
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REQUIREMENTS: Seeking a highly motivated undergraduate research assistant with strong interdisciplinary interests in data science and artificial intelligence. Ideal candidates should have foundational experience
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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Department: Materials Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Application deadline: 29/04/2025 Research theme: "Materials
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At Aalborg University Business School, one position, as PhD student within Business Data Science, is open for appointment on August 1, 2025, or as soon as possible thereafter. The PhD student will
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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
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/Team: Division of Informatics, Imaging & Data Science Hours Per Week: 35 hours per week Closing date (DD/MM/YYYY): 11/04/2025 Contract Duration: Fixed term for 9 months School/Directorate: School