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Field
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) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer
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: Cultural Historical Activity Theory, epistemic cognition, epistemology, scientific reasoning, assessment, or uncertainty in science. Experience using Cultural Historical Activity Theory to analyse interviews
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Cultural Historical Activity Theory to analyse interviews, representations, and artefacts. Excellent command of written and spoken English. Strong organisational and interpersonal skills. Ability
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modelling, geospatial data science, generative modelling, mobility data analysis, or transport simulation, especially when combined with knowledge of complex systems, network science, resilience theory, urban
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theory (e.g., reasoned action and planned behavior theories); Experience in quantitative (surveys, longitudinal research) and qualitative research (open-ended surveys, content analysis). Collaborative
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of evolutionary optimization, complex systems theory, and control theory. Study why immune systems differ dramatically across species and why some lineages have lost adaptive immunity. Collaborate across
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policy, including learning key theories in the area of study · Curiosity and a generalist attitude with interest in diverse social policy issues · Ability to work on multiple simultaneous
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materials, intervention resources, and education and policy-relevant deliverables. Leads and supports implementation of cancer prevention and control studies among high-risk and underserved populations
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fathers) You will: Build and commission new experimental apparatus for laser-cooled neutral-atom and/or cryogenically cooled solid-state qubit platform Develop and maintain experimental control systems
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, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab