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be used effectively as a performance digital twin to generate high-quality engine performance models and produce required training data for the proposed project. This could be a good starting point for
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, digital and mixed-signal integrated circuits Layout design for CMOS and OLED production Close cooperation with interdisciplinary departments and research partners (e.g. OLED technology and production
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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
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of the steel processing and to act as virtual tool for the selection of new steel compositions and of optimum processing conditions. Advances in digital twins also lead to fewer experiments and less usage of raw
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. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
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the development of the adolescent brain. As one of the first in the world, she has been systematically monitoring adolescents, their lifestyle and the neurological processes in their brains on a long-term basis
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. Please indicate your possible start date. Application Procedure: Provide CV, cover letter summarizing research qualifications and fit for the position, and a list of three references. Interested candidates
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-relevant forms of scholarship into their doctoral education process. Awards of up to $10,000 are available to support innovative/collaborative scholarship which the student would otherwise be unable
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period
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research award programme, come to our online event and get information on the award and the application process from us directly. Click here for the next events. Our sponsorship The award amount is €80,000