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-based professional development activities in online learning, across multiple learning and teaching approaches and disciplines. Demonstrated experience in developing interactive, authentic, user-centred
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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teaching teams through the development and delivery of theoretical, pre-clinical and clinical education. They will design and implement engaging online and in-person teaching activities in alignment with
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to solve complex problems and adapt policy. Experience managing multiple stakeholders to achieve outcomes and working with senior management. Strong interpersonal skills, including the ability to negotiate
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theoretical and technical sophistication. Demonstrated ability to manage multiple stakeholders to achieve stated outcomes. Demonstrated high level of self-motivation and personal management skills Please refer
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), disciplinary teaching pedagogy and research. Conduct and lead innovative and high impact research and produce conference and seminar papers and publications resulting from that research that aligns with
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capability. Excellent communication and interpersonal skills, especially the capacity to work collaboratively and cooperatively in teams, and ability to manage multiple stakeholders to achieve outcomes. Please
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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experience of Health & Safety regulations and procedures. Developed written and verbal communication skills and excellent interpersonal skills, especially the capacity to work collaboratively with multiple