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, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform statistical analyses to assess stability and plasticity of multisensory
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of these three key areas: quantitative user studies, statistical modelling of human experimental data or human augmentation very good in scientific writing and communication skills very good knowledge
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statistical analyses to assess stability and plasticity of multisensory representations Collaborate with experimental partners and team members to interpret findings and develop brain-machine interface
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. BSc degree in Biology, Biomedicine or a relevant discipline (Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong
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in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
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healthcare in the UK (assessed at: interview) Desirable criteria A higher degree, e.g. MSc in a relevant discipline such as statistics or health research (assessed at: application) Experience in using