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specification. please quote reference ( PRSV01134 ) in the email Closing date for application : 13th July 2025 at 11:59pm. The selection process will involve an interview and an assessment/exercise/presentation
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hydrodynamic modelling and sediment transportation. ii. Model Validation: Validation of DHI Mike Model with past historical data iii. Data Analysis: Process and analyze coastal and ocean wave data to improve
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. Application Process For an informal discussion about this opportunity, please contact Professor Martin Conway (martin.conway@history.ox.ac.uk), current Faculty Board Chair and Professor of Contemporary European
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to Treat Mitochondrial Diseases (LAC-TreatMito-UK) was established in September 2024 to deliver a national platform to translate novel treatment strategies and biomarkers into clinical trials. This platform
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to contribute to an exciting European project developing biotechnological processes that use phototrophic microorganisms to recover resources from waste. About the Role We are seeking a dedicated Research Fellow
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support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as smooth as
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industry stakeholders and will be responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is
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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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quantitative techniques (e.g., NLP, classification, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data
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academics, visiting fellows, and librarians. In this role you will be fully integrated into the RAI community. Application process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk