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Science or a related discipline and demonstrate strong skills in natural language processing and large language models. Knowledge of educational theories and human-computer interaction would be advantageous
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data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded by Barts Charity, aimed at realising the full potential of Genes
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Science or a related discipline and demonstrate strong skills in natural language processing and large language models. Knowledge of educational theories and human-computer interaction would be advantageous
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FieldMathematicsYears of Research ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria Holder of a PhD in ecology, mathematics
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dealing with the large number of plankton types and with unresolved ecological processes especially around mortality. Modern, GPU based, modelling infrastructures provide promise towards running models
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10 Apr 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded or near completion* in
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of Research ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria Education: PhD in Computer Science, Artificial Intelligence
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information, please visit the University of Washington Labor Relations website . Qualifications The successful candidate must have a PhD or MD degree in Microbiology, Pathobiology, Immunology, or related fields
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of large-scale nutritional data within an epidemiological context. Post 1 (Micronutrient status) will analyse and model micronutrient status biomarker data from epidemiological surveys and cohorts (Professor