995 virtualization-"https:"-"https:"-"https:"-"Central-European-University" PhD positions
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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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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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. 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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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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to pursue an outstanding career in academia, government or business. About the 60th Anniversary Doctoral Excellence PhD Studentships The fully funded PhD Studentships are open to submissions
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via surveys (e.g. teacher efficacy, commitment, quality of work/learning environment, resilience) and direct virtual/online engagements with teachers using a one-to-one/focus group interview processes
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About the Project We are inviting applications for a fully funded PhD position linked to an ERC Starting Grant project, Digital Welfare Borders: The Effects of Artificial Intelligence in Migrants
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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