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Field
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modeling, structural equation modeling) and/or structural MRI methodologies. Clear career commitment to brain and cognitive aging, Alzheimer's disease, or health disparities, as evidenced by relevant
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to promoting equality for women in science and engineering. Our Faculty offers exceptional research facilities in fluid dynamics, structures, and their interactions. This includes a world-class fluid dynamics
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Grant “Unwrapping topologically protected light on topologically structured surfaces”. Building on the University of Southampton’s long-established and internationally recognised strength in metasurface
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-centric machine-learning frameworks for large-scale sequence-structure analysis and functional prediction. The role involves designing, implementing, and benchmarking computational models; developing and
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tracking systems. Strong written and verbal communication skills, including producing clear minutes, action logs, and structured documents for diverse stakeholders. Comfort working with multidisciplinary
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Grant “Unwrapping topologically protected light on topologically structured surfaces”. Building on the University of Southampton’s long-established and internationally recognised strength in metasurface
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congenital heart defects and structural diversity across populations and species. In doing so, we aim to identify novel approaches to diagnose and repair structural defects of the heart wall and septa. We use
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and cohort data to investigate how social structures interact with individual and family-level risk factors to influence life-course trajectories. Within this framework, the successful candidate will
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Empirical Structural Applied
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analysis experience and scientific writing ability Experience with systematic or scoping reviews (or other structured knowledge-synthesis methods) Experience in R or Stata Knowledge of experimental and