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of separating fire-induced signatures from natural environmental variability (weather, canopy changes, tree motion) and fluctuations in the SoO sources themselves. Machine-learning methods will help improve long
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of genomic predictors into multivariable and machine-learning prediction models for treatment outcome. Working closely with Professors Breen, Eley and collaborators across psychiatric genetics, clinical
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. Willingness to learn complex statistical analyses of fMRI data (this might include analysis methods such as multivariate data analysis, machine learning or computational modelling) Desirable CriteriaExperience
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are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant
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compassionate staff, who have learned from their training and from one another. To maintain that reputation, our staff have to manage existing demands while continually responding to new and emerging priorities
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the ability to learn new software packages and working knowledge of MS office including Word and Excel. Experience of change management and setting up new procedures and processes. What We Offer: As an employer
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computer and IT skills, Kinetics, Oracle, Microsoft Word, Excel, emails, including use of internet and online calendar. Level 3 Food Safety and Level 2 Health and Safety. Desirable CriteriaExperience
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Adaptive Learning in Brain-Robot Interactions
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. At NTU, digital will be our differentiator; it will provide opportunities to enhance the timeliness and quality of the delivery of teaching and learning, research, support for our students, and the
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-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis, to deliver a knee joint analysis pipeline capable of driving surgical innovation beyond 2030. The work program