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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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, 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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/InstituteInstitute of Basic Medical SciencesCountryNorwayGeofield Contact City Oslo Website http://www.uio.no/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail [email protected]
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/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail [email protected] [email protected] STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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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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-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together with the statistical grounding to reason about the models you use ● A GitHub account with code you have
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supporting materials e.g. link to MS Thesis (draft), publications, project descriptions, code repositories If the applicants are selected for an interview, they will be asked to provide contact details
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, or code they have previously worked with. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited for interviews and may be asked to complete a short research and data-analysis
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must be made through the university’s on-line application system https://admissions.bham.ac.uk/course-finder-landing-page/?code=EPS006 . Please provide: (1) a cover letter summarising your research
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of an uncertain term contract celebrated under the Labour Code, of 1 (one) doctoral researcher position initial level under private law, for the exercise of scientific research activities in the scientific area of