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and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in
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engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data Research Associate Role: Under the direction of their supervisor, the candidate
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward
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17 Oct 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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of >10 members, including a full-time senior PhD statistician and both clinical and full-time postdocs. Our projects typically leverage large sets of either registry-based, biomarker, genetic and/or
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that contribute to new breeding tools and accelerates discovery. The position will offer opportunities to explore several approaches to solve the optimisation strategies including simulation-based, big data
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department
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Research FieldComputer scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in epidemiology and/or