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-quality education in a variety of formats. Candidates would enjoy working with large and diverse cohorts of students and encouraging them to fulfil their potential. For an informal discussion about the post
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components to build scalable digital twins. • Generative AI: Application of Large Language Models (LLMs) to generate synthetic data for digital twins and their role in supporting cyber-physical systems
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
MMI1020H Big Data Analysis This course introduces students to the art and science of data analysis and provides a set of statistical and econometric tools that are useful in managerial decision
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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 2 months ago
therapeutics for Alzheimer’s disease by integrating biostatistics, bioinformatics, and Big Data analytics. Key Responsibilities Perform statistical analyses using the R programming language. Develop and apply
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22 Jul 2026 Job Information Organisation/Company Universitas Mercatorum Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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The Cancer Science Institute of Singapore – a part of National University of Singapore – is seeking a skilled Big Data Engineer to join the Genomics and Data Analytics Core (GeDaC). We are operating
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16 Jul 2026 Job Information Organisation/Company Università di Pisa - Dipartimento di Filologia, Letteratura e Linguistica Research Field Language sciences Researcher Profile Recognised Researcher
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: Introduction to the Big Data Era & Opportunities for Better Health Care Department Research and Experimental Medicine Support | Department of Medicine | Faculty of Medicine Compensation Range $38.65 - $38.65 CAD
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: Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. Demonstrated research in one or more areas of HPC or AI (e.g., large-scale training
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RAP opportunity at National Institute of Standards and Technology NIST Enabling Science from Big Microscopy Image Data Location Information Technology Laboratory, Software and Systems Division