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Field
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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dilution refrigerators, measurement electronics and software, and fabrication processes all in place to achieve top scientific results without the need to build tools for years. Responsible and meaningful
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Knowledge of qualitative, participatory, and creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated ability to work
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challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
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mental health Knowledge of qualitative, participatory, and creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated
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set-ups to conduct experiments on magneto-active (viscoelastic) polymers and will work on the integration of the associated software for the Solids Mechanics side of the project under the guidance
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-analysis software; managing procurement and technical liaison with campus workshops; planning and analysing imaging experiments with collaborators; supervising and mentoring junior researchers; and
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research methods (including research ethics, interviewing, and analysis using software programmes such as NVivo. Strong experience in community engagement (preferably with minoritised ethnic people
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analysis using software programmes such as NVivo. Strong experience in community engagement (preferably with minoritised ethnic people). Outstanding organisational and record-keeping skills and a capacity to
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field. You love working on hard problems that live at the boundary of theoretical method and computational software development. You enjoy working in a team where you contribute your expertise and skill