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welcome you to apply for a DDLS PhD position in Data-driven cell and molecular biology at the Department of Information Technology, Uppsala University. The Department of Information Technology holds a
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platform for metal AM parts; 2)develop and perform advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality
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advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality diagnostics on the printed parts. The PhD project is
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for a DDLS PhD position in Data-driven precision medicine and diagnostics at the Department of Information Technology, Uppsala University. The Department of Information Technology holds a leading position
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Supervisors: Prof. Gabriele Sosso, Dr Lukasz Figiel, Prof. James Kermode Project Partner: AWE-NST This project utilises advancing machine learning techniques for simulating gas transport in
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useful life (RUL), is an important part of extending the lifetime of a wind turbine as well as the power that can be generated from it. While both tasks are often driven by experts, public data
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, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project
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Smartlife, leveraging model and data-driven digital twins for smart asset management and lifetime optimization of offshore windfarms. For this function, our Brussels Humanities, Sciences & Engineering Campus
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models and data-driven longitudinal statistical analysis. The successful applicant will have access to a variety of datasets covering diabetes, AMD, Glaucoma and rare genetic retinal diseases. With
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cooperation with Kopter Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called