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Policy. To be confident and able to use and instruct on Domestic and Dubied knit machines, and linkers, to produce garments and knit swatches to a high standard. To work closely with the Senior Knit
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(or equivalent) in a relevant subject, be computer literate and in addition have experience of handling a variety of different sample types. The post is available until 28th February 2027. Our
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maintaining our commitment to delivering high-quality service to all our students. In addition, we have recently moved to a modern campus building, offering a bright and spacious learning and working
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will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous
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to think analytically and creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative
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transformations. Combining automated reaction discovery simulations, microkinetic modelling, machine learning, and global optimization, this project will develop a new and exciting route to addressing one
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an outstanding student and staff digital experience. At NTU, digital will be our differentiator; it will provide opportunities to enhance the timeliness and quality of the delivery of teaching and learning
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the operation of sweeper equipment and, where necessary, engage in manual litter picking duties to ensure the University pedestrian and car park areas remain safe and litter-free. The role will require a flexible
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Knowledge of working in a University environment Experience of working with students Computer literate Additional Information 2 x Part time - 35% FTE (12.5 hours per week) working 0600-0830am primarily, 5
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success? Are you curious and ready to ask ‘what if?’ or ‘how come?’ We are seeking passionate student innovators to support a range of activities across HELIX and the Library Makerspace. These new learning