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, failure modelling of fibre-reinforced composites using FEM, use of Artificial Intelligence for surrogate models An interest or experience with structural optimisation Experience in scientific coding (e.g
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and implementation of Retrieval-Augmented Generation (RAG) pipelines using automotive standards, technical documentation, software models, and source-code repositories Development of AI-supported
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through the University’s Apply to Newcastle Portal In ‘Course choice’ tab, put ‘Postgraduate Research’ in 'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2026’ in ‘Year of Entry’, code ‘8420F’ in ‘Course
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 11 hours ago
Job Code: 26-26 Job Offer from October 01, 2026 At the Max Planck Institute for Multidisciplinary Sciences , we bridge the gap between basic research and technological advancement. Here, researchers
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. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and
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referees • links to any relevant code repositories, preprints, media articles, blogs, or other supporting media (if applicable) Excellent candidates from outside of the EU will also be considered
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Application’. Select 2026 as the ‘Year of entry’ for a January 2027 start date Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ use the programme code: 8420F Research Area
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current regulations. The position is classified under the job code “Stipendiat” (PhD position, code 1017). In addition to the base salary, a Svalbard allowance of NOK 44,640 per annum is provided. A 2
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. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and
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/coding and experimental hardware skills are desirable. Strong analytical and mathematical skills. Passion for research and willingness to learn. Good presentation, communication and scientific writing