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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
. Job description Your key tasks are: Carrying out an independent research project under supervision, including deriving its mathematical basis and implementing results in code; Completing PhD courses
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or using pretrained-model APIs is not sufficient. Applicants must provide evidence of research potential through a substantial thesis, research project, code contribution or publication, clearly identifying
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and research. Learn more about our codes of conduct We are located on one physical campus, in the heart of Amsterdam's Zuidas business district, with excellent location and accessibility. Over 6,150
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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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, 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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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 10 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