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Field
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into the challenge of integrating and analyzing large and diverse environmental and health datasets. Using semantic data linking, you’ll help turn complex data into actionable, FAIR (Findable, Accessible
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wind farms in the UK and neighbouring countries is expected to triple in less than five years. Newer wind farms are also deploying very large turbines of 14 MW or more, meaning that wake effects between
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MEDICINE: precision veterinary medicine Prognostic biomarkers of neurodegenerative diseases Novel method to detect motor unit loss in muscle based on Electromyography BIG DATA analytics as a tool for medical
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extended abstract of your Master thesis. Two letters of recommendation should also be provided here by the deadline. Only complete application will receive full consideration. Fore more information on BIGS
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27 Oct 2025 Job Information Organisation/Company IMDEA Networks Institute Department Opportunistic Architectures Lab Research Field Engineering » Electrical engineering Computer science » Other
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DOCTORAL RESEARCHER POSITIONS IN ECOLOGICAL STATISTICS We seek doctoral researchers to develop methods for analyzing large-scale biodiversity- and ecosystem function data. Our approach is based
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narrow down what parts of our genome are actually important for defining modern human-specific biology. This project will analyse data from these ultra-large datasets, alongside data from our great apes
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and Stata. Working with large datasets, including merging files into the data archive. Creating clear data visualizations to communicate results (including GIS maps). Assisting with the preparation
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. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. Barocas, S., Hardt, M., & Narayanan, A. (2021). Fairness in Machine Learning. Retrieved from https
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loads in power system dynamics and stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven