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, synthesis, scale-up, system design and characterisation, with their specific role being dependent on experience and expertise. This is a rare opportunity to have meaningful input into the development of a new
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to the Singaporean English mental lexicon. The candidate is expected to assist with the development and validation of large-scale psycholinguistic databases and word norms for Singapore English. A candidate with
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
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to disseminate findings through high-quality publications in international journals and refereed conferences. Experience with offshore wind energy systems or other large-scale energy infrastructure is preferred
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
simulations, neutrino physics, statistical inference, detector modeling, or large-scale computing frameworks is highly desirable. Applicants should submit the following: • Cover letter • Statement of research
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the leadership of Professor Rhiannon Owen. The Population Data Science group is home to leading researchers, data scientists and statisticians who focus on making the best use of large-scale multi-dimensional data
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will: Develop, train, validate, and benchmark AI/ML models using large-scale, real-world datasets and systems. Lead and participate in research activities with Professor Eilyan Bitar and collaborating
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for the development of XAI models and the evaluation of large-scale linguistic models in application contexts Where to apply Website https://www.unimib.it/lavora-noi/contratti-ricerca/contratti-ricerca-posizioni
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, Biostatistics, or related medical/pharmaceutical fields. Proficiency in statistical software such as R, SAS, STATA, or Python. Experience analyzing large-scale databases (e.g., NHIRD, Biobank) is highly preferred
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. subject, tissue, single cell) with or without spatial features. Analyse large-scale omics datasets, interpret results, and generate biological insights. Work closely with national and international