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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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can be undertaken on either a full-time or part-time basis and is available only to a candidate who is eligible for UK home fee status. Start date 1 October 2026 For further information and how to apply
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with another PhD student at UCLouvain. The PhD candidate will carry out academic research in the fields of urban mobility and foresight. In particular, he/she will: collect and analyze qualitative data
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, and data interpretation, is an added advantage. Strong scientific writing skills, with a track record of peer-reviewed publications. Excellent communication and organizational skills, with the ability
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combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Eble group investigates
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. This project will develop models that can extract information from legacy data, and leverage this information in the design of new materials, especially for steel types that can be produced in a more sustainable
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will be affiliated with the LEAP project and Faraday Institution Funding information Standard UKRI Stipend (£20,780 from 1 October 2025) Stipend: Standard UKRI stipend, PG Research Fees - Student Finance
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. · Analyze data, document findings, and contribute to lab publications. · Participate in regular lab meetings and discussions Required Qualifications at this Level Education/Training: Ph.D. in neuroscience
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development. For more information, please visit Working at Utrecht University . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring
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reliability. Prospective applicants for this PhD proposal should have the following qualifications: M.Sc. degree in communications engineering, mathematical engineering, electrical engineering, computer