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Field
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such as quasi-normal modes. You will lead the development of modelling codes and have primary responsibility for at least one project within the broader research program. Additionally you will contribute
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is primarily experimental, developing measurement systems and principles, with theory and analysis to support this. We strongly collaborate with clinical practitioners in order to move those systems
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analysis, interpretation, and write-up using a critical social science approach. Duties will include: coding and thematic analysis and of data; interpretation of results; developing a robust qualitative
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/ Theoretical Particle Physics Lattice QCD and Heavy Ion Physics Machine Learning / Machine Learning Lattice Field Theory lattice gauge theory (more...) Nuclear Physics / Lattice QCD Appl Deadline: 2025/09/30
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for the position will be ranked based on: A solid background, and any relevant research experience or high-quality publications, in robotics, machine learning, control theory, autonomous systems and mathematics
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), o Selecting comprehensive qualitative analysis techniques (e.g., thematic analysis, framework analysis, grounded theory, qualitative description), o Organising and facilitating data collection (e.g
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PhD and honours students with their projects as needed (e.g., help with code, advise on study design, etc.) Build prereading for EARP Lab potential joiners; support onboarding/mentorship Propose new
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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Theory Apply for this job See advertisement About the position There is a vacant position at the Department of Sociology and Human Geography for a research fellow (SKO 1017) in sociology/human geography
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics