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us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer
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candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 06/27/2025 Prae Doc
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involve the development of new data, techniques, and evaluations. The successful candidate will also take part in dissemination of research findings. The student will work as part of the interdisciplinary
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academic CV, detailing your education and qualifications; employment history; publications; and any other relevant information. You must nominate two academic referees (including one from your most recent
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for the collection of data to develop and validate prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection
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skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Barmak Honarvar Shakibaei Asli
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of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to
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they would design the project (for more information, see the ‘Application procedure’ below). Application Procedure Informal enquiries are welcome and can be made directly to Dr Christiane Ahlborn, Assistant