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. Understanding and quantifying large repositories of data is key to making security effective in practice, and expertise in this area is a prerequisite, as is expertise in the design of such data analysis using
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information in unstructured free-text notes. While structured (coded) fields are commonly reused for research, a substantial amount of nuanced and context-rich patient information remains locked in the large
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, linear mixed modelling, time series analysis, causal inference). Experience working with large, multimodal and/or open access data sets Interpersonal and communication skills toeffectively collaborate and
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? Join an interdisciplinary PhD project that uses large-scale viral genome and epidemiological data to develop predictive theory for rapidly evolving viruses. You will work at the interface of theoretical
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now Are you interested in evolution, statistical physics, and infectious disease dynamics? Join an interdisciplinary PhD project that uses large-scale viral genome and epidemiological data to develop
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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2 Apr 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Computer science » Informatics Computer science » Programming Language sciences » Linguistics
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for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains
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-increasing, high-quality data volume to a large user community. ESA, with its partners and the European Earth observation (EO) and IT industries, is developing an ecosystem of Copernicus Sentinel and DestinE
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Interaction with a design and data-oriented perspective. Experience in research in the domain of affective interaction design Background in large-scale data engineering Personal or professional experience