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or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging project governance, systems thinking, and intelligent control
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of sources to update databases, compile reports, charts, graphs, and tables. liaise with internal teams and external suppliers to address facilities matters. manage fleet bookings for the site
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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to the publication of peer-reviewed journal articles is experienced with co-design and/or community outreach efforts to design and inform research demonstrates an understanding of behavioural change theories and how
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inventive approaches to original songwriting, producing, and performing music, students will also study analysis, history and culture, music theory, music technology, and performance units. Key
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international research collaborations disseminate research findings. About you: An awarded or near completed Ph.D. in a relevant discipline (e.g. Medical Physics, Radiology, Computer Science, Physics, Mathematics
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strong background in statistics and mathematics as applied to medicine and biology. The ideal candidate holds a doctoral degree in a quantitative discipline (e.g., Applied Mathematics, Applied Statistics
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solutions proposed to create better cities. We embrace an integrated and multidisciplinary approach to the theory, policy, and design of how cities are made and shaped. We have strong research concentrations
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, control theory, simulation, SCADA systems, and basic programming ability to teach, engage, and support the learning of students using innovative and modern pedagogies, including the organisation and
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aligning assessment tasks to learning outcomes. They will have a demonstrated ability to interact effectively with students, facilitating and guiding their learning in theory and practical sessions, and