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Zhongping.Que@brunel.ac.uk for an informal discussion about the project. Eligibility Applicants will have or be expected to receive a minimum 2:1 or 1st class degree in Materials Engineering, or a related
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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onset of sweating. This is an exciting new collaborative project between our Sports Technology Institute and Unilever, and innovative and world leading company specialised in consumer goods, particularly
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open up exciting career opportunities? Do you have a background in electric power engineering, and are you interested in power electronics? As a PhD Candidate with us, you will work to achieve your
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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Abandonment (P&A) Technology and within the framework of the ongoing industry sponsored research program SFI – Center for Subsurface Well Integrity, Plugging and Abandonment (SWIPA) https://www.sintef.no/en
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diverse academic community. Qualifications: Ph.D. in Chemical Engineering, Biochemical Engineering, or a closely related field. Strong background in materials science, polymer chemistry, and/or fiber
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Department: Robert Vácha Research Group – Central European Institute of Technology Deadline: 30 Jun 2025 Start date: 1.2. 2025 or by negotiation Job type: full-time Job field Science and research
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of the processing system online. Our approach will be to draw on a broad selection of tools including (deep) reinforcement learning, queuing networks, online algorithms and systems engineering. In addition, a large
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Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages