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; publishing the re-sults of the research work individually and in concert with others; cooperative maintenance of ex-change platforms (database, information pages, etc.); summarizing the results
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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with strong complexity thinking and tools applicable to living systems across organizational scales, addressing major environmental and life sciences challenges. Courses will cover topics such as
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, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc students. Secure research
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Environment Information, communication and quantum technologies Candidates can review the research lines here: http://icn2.cat/en/research During the application process, candidates will be asked to select the
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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and electrical measurements Other skills that you think are relevant (please explain in your cover letter). Terms of employment A full-time PhD position for 4 years. The initial contract will be for one
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching