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of Latin Lexical Semantics (COALA), successfully evaluated by the ERC as a Consolidator Grant and funded by UKRI, led by Dr Barbara McGillivray. About the role We are seeking a Postdoctoral Research
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-year project Computational Corpus Annotation for Quantitative Analysis of Latin Lexical Semantics (COALA), successfully evaluated by the ERC as a Consolidator Grant and funded by UKRI, led by Dr Barbara
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of Latin Lexical Semantics (COALA), successfully evaluated by the ERC as a Consolidator Grant and funded by UKRI, led by Dr Barbara McGillivray. We are seeking a Postdoctoral Research Associate in Latin
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-year project Computational Corpus Annotation for Quantitative Analysis of Latin Lexical Semantics (COALA), successfully evaluated by the ERC as a Consolidator Grant and funded by UKRI, led by Dr Barbara
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. At present there is specific interest in advanced 3D perception techniques such as geometric foundation models, implicit neural rendering (NeRF, Gaussian Splatting) as well as semantic mapping. Our research
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and with expertise spanning knowledge graphs, GeoAI, research data management, geo-semantics, geographic information retrieval, geo-visualization, social sensing, and related fields. We are interested
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statistically reliable AI, with applications to engineering. The research will focus on the design of formal reliability guarantees for black-box AI models operating under highly non-deterministic and context
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their formalization. This position is associated with Kalle Kytölä’s research group, part of the Finnish Centre of Excellence in Randomness and Structures (FiRST) . The starting date is March 1, 2026, or as mutually
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providing your name and the job reference number of the position. While we are happy to respond to all informal enquiries, only formal applications through the online system will be considered. We welcome
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interests and establish whether they are able to support your application. Get their formal approval and estimated research costings for the project. Closing date Wednesday 18 February 2026 Stage 2: Submit