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statistics, together contributing to a deeper understanding of the basis of human brain connectivity and brain function. You have affinity with working with large datasets and have knowledge of data analysis
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jets. Proved experience on implementation of experimental techniques for analysis of electrohydrodynamic jets. Curriculum Vitae appropriate to the objectives of the work plan. Additional comments
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do caregivers strike a balance of children’s individual needs in dyadic caregiver-child relations and the dynamics of the group? (Study 4) The project involves: quantitative analysis of large-scale
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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channels. The goal is to uncover hidden tracking practices that operate across ecosystems (e.g., mobile, web, IoT, and smart TV environments) and to design scalable analysis and mitigation frameworks
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on Machine Learning and Psychophysiological Deception Detection. The studentship is part sponsored by GCHQ and funded for up to 3.5 years with fees and a stipend at the standard UKRI rate. The position is only
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microenvironment. The post holder will develop experimental work flows for data acquisition and apply bioinformatics tools to create novel analytical pipelines for analysis of multidimensional data sets. The project
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assessment of chemical plants using HAZOP analysis Use of process modeling and simulation to enhance quantitative assessments Use of machine learning to support HAZOP discussions with the aim of obtaining a
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vocabulary development. The position is part of a project funded by the Leverhulme Foundation testing a neural process theory of vocabulary development. The successful candidate will work with Prof. Larissa
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analysis, critical thinking, scientific writing Your supervisors will help you identify your training and development needs, and use dedicated time and funding within the ARIES DT programme to support your