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threats to biodiversity. Freshwaters are disproportionately affected by such invasions, and home to a disproportionately large proportion of biodiversity, especially invertebrates. They also provide
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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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writing and implementing code alongside extracting information, trends, and patterns from large datasets. Topics to explore during this PhD project include: Investigating available software options Methods
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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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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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, electrical engineering, and computer science. Desirable skills/interests: Signal processing, machine learning, applied optimisation. Objectives: To analyse large-scale data that is reliable and collected from
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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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7 Nov 2025 Job Information Organisation/Company Linköpings universitet Research Field Communication sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 27 Nov
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13 Nov 2025 Job Information Organisation/Company Linkopings universitet Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 10 Dec 2025 - 12:00 (UTC) Type of Contract
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. when do we stop modelling? How do we track / score the quality of the model What is the required level of quality over time How can quality be brought to the required level Can Machine Learning, Large