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information about jointly run scholarships programs, please also see our partners' websites. Information describing the number and value of scholarships awarded is indicative. Looking for more study options
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the most informative weights, motivated by the metabolic cost of learning in biological systems, can reduce the energetic burden of training by orders of magnitude. What has not yet been explored is what
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making more sustainable choices in all aspects of the activities for which you apply for funding, such as the conscious use of materials, catering and means of communication. About the Dobberke Grant
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About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been
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an application Status: Not open yet Applications open: 26 Jan 2026 Applications close: 8 Mar 2026 The information listed here is subject to change without notice. Where we have listed information about jointly run
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. Although there is a clear synergy between fatigue damage and corrosion, most fatigue prognosis models do not explicitly consider the role of the environment, which is usually reduced to obscured fitting
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of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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image correlation is an effective tool to characterize material properties. The analysis of the images can provide a fair assessment about the changes in material behaviour under different operational
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diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial problems