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leadership, fostering a culture of excellence, collaboration, innovation, and continuous improvement. You will also drive service optimisation, automation and AI enablement across infrastructure platforms
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continuous improvements and automation of business practices and tools, including drafting specifications to support enhancements Maintaining the Callista system with regular patching, testing and
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PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
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Diabetes can be effectively controlled by maintaining a healthy diet, well-managed blood glucose level and regular physical activity. Evidence suggests that improving dietary habits can play a
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Machine learning, dynamical systems theory, control theory, signal processing, network theory, neuroscience are all relevant and a student should have strong knowledge in at least one of these and a
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an enthusiastic Retail Supervisor. The Retail Supervisor will be responsible for supervising casual staff; transacting sales; coordinating merchandising and promotion activities and assisting with stock control and
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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-rich reporting and support decision-making. The role strengthens control environments and influences cross-functional working groups. As the successful candidate you will be responsible for providing
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contribute to studies investigating sleep and respiratory control in preterm infants, sleep disordered breathing in children and sleep patterns among children with developmental and chronic health conditions
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to real ChIP-seq and CLIP-seq datasets with well-defined binding sites as a control that it works with real biological data Apply MML to ChIP-seq cardiac datasets where no primary or secondary binding site