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to learn, working with structured datasets as part of mixed-methods research; ability integrate different types of data and qualitative insights with theoretical analysis. Please ensure you read the Job
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are at the core of how we engage with students, colleagues, applicants, visitors and all our stakeholders. We are fully committed to enabling a supportive and safe learning and working environment which is
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to learn new skills and to modify duties to fit a changing research environment. What We Offer Your happiness and wellbeing at work matters to us, so we offer a range of family-friendly and financial
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will work on advanced brain-machine interfaces and non-invasive stimulation systems, integrating real-time behavioural and brain activity monitoring to deliver closed-loop interventions. This role offers
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tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive, considerate leave provisions to empower your work-life balance and well-being
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are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information For further information. please contact Professor Gordon Brown, email Gordon.brown
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: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and
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, human-computer interaction, UX-design, computer sciences, along with a knowledge of quantitative and qualitative methods appropriate to inform product development and conduct user testing. Your
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Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available. And much more! To explore the post further or for any queries you may have
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of