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Field
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and epidemiological characterisation of cardiovascular risk among people living with T1D, using multimodal data in the large SFDT1 cohort study. This work will lay the groundwork for developing novel
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sustainably use forests and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE
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The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position (3 years) on the topic of “Automation of tool wear measurement and data
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. The Schumacher laboratory in the Department of Biochemistry at the Duke University School of Medicine seeks a Postdoctoral fellow with expertise in Cryo-EM data collection, data processing, generation of cryo-EM
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climate data to study occurrence of tundra fires and subsequent regreening across climatic gradients; Remote fieldwork in fire-affected and pristine tundra in the Sisimiut – Kangerlussuaq region, in
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data analysis, with opportunities to apply your skills to integrating this with other data types (e.g. genomic and transcriptomic). The position is full-time and available for a duration of 4 years
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and colleagues located across the 4 nations of the UK. HDR UK’s mission is to unite the UK’s health data to enable discoveries that improve people’s lives. Its 20-year vision is for large-scale data and
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links between home and flexible working patterns, mobility patterns and wellbeing. The project will take a multidisciplinary approach combining quantitative analysis of large-scale secondary datasets
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
intelligent reasoning and feedback mechanisms into digital twin environments, enabling them to interpret complex maintenance data more effectively. Using AI techniques, such as large language models, knowledge
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new