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of a doctorate, contains: Are you eager to improve pandemic preparedness through data-driven research? Do you want to work on real-world implementation of AI and epidemiological models in healthcare
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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth
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-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant
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FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department of engineering Technology (INDI) — Thermo and Fluid
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load predictions for wind turbines, specifically the foundations, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime
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broad genomic screening and (2) support hospitals in mitigating the impact of pandemics through optimized decision-making and data collection strategies. The project brings together experts in artificial
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views in real time. Yet raw video and point-cloud streams are massive, wireless links are unreliable, and safety demands that information be both timely and trustworthy. IONIAN tackles this bottleneck
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this for data mining of existing scRNAseq datasets in the lab, as well as publicly published and newly generated data. You will study how abnormal genetic content modulates cell fate decisions in pluripotent stem
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, for the preparation of a doctorate, contains: We invite you to apply for a PhD position supported by the Marie Skłodowska-Curie Doctoral Network HARNESS - Harnessing AI and Data-Intensive Technologies
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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