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Field
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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software projects, including defining roadmaps, managing implementation of new features, and coordinating multiple developers. Experience working in an academic research environment, particularly quantum
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Postdoc of Computer Science: Geometric models for non-diffeomorphic shape evolution and shape models in plant science, Department of Computer Science, Faculty of Science, University of Copenhagen
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, developing, and implementing AI systems and data pipelines that enhance and automate university operations across multiple departments. This role is crucial in transforming manual processes into AI-driven
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified . JOB SUMMARY The AI Engineer will be responsible for designing, developing, and implementing AI
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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
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-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence
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classes on embedded systems programming. Professional Development • Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve
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to open-source libraries and publications in relevant journals or conferences are highly valued. Experience participating in multiple software development projects simultaneously, ensuring timely delivery
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combination of statistical, quantitative and qualitative methods. Extracts, manipulates, and interprets data using statistical software (E.g., SPSS, R) and SQL-based query applications (e.g., Cognos) Develops