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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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3 Apr 2026 Job Information Organisation/Company Leiden University Research Field Computer science » Database management Computer science » Programming Language sciences » Linguistics Researcher
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3 Apr 2026 Job Information Organisation/Company Linköpings universitet Research Field Engineering Researcher Profile Recognised Researcher (R2) Application Deadline 30 Apr 2026 - 12:00 (UTC) Country
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: Compiling and analyzing large erosion data sets (thermochronology, cosmogenic nuclides, suspended sediment, etc.); Statistical modelling of data to analyze drivers and make local and/or global predictions
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of extension by 1 year. This project involves searching new particles using the data from the ATLAS experiment at the Large Hadron Collider. The successful candidates will analyse data from the ATLAS experiment
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-performance computing systems (,e.g., SLURM) Familiarity with population genomics, GWAS, or related approaches Experience with large biological datasets Proven ability to communicate scientific information
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information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific
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for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford. The post is only available as full-time. However, we can discuss flexible working hours (e.g. starting and finishing earlier in
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working with large or complex datasets, ensuring accuracy, reproducibility and secure data management. They will be able to work both independently and collaboratively as part of an interdisciplinary team
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. Several UK groups, including Liverpool, are actively engaged in the R&D phase and will play key roles in construction, working closely with international partners. We are looking for candidates with a PhD