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About the Role We are looking to appoint a Lecturer or Senior Lecturer (depending on experience) to teach on our undergraduate and postgraduate (including practitioner) courses. We welcome
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are particularly keen to hear from those with expertise in one or more of the following sub-disciplines: - Computer Programming (C++, C#, python); - Cybersecurity; - Artificial Intelligence, Machine Learning and
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a focus on Physical Activity and Health related content. You may also teach more broadly exercise physiology, sport and exercise psychology, and/or research methods. You will have a PhD in a related
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PhD in a relevant Engineering or Technical discipline and an emerging record in research. Preferred areas of research application include one or more of medical technology, engineering education
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, energy-efficient machine learning for small and low-power devices. The Network supports collaboration, training, events and real-world impact across health, sustainability and security, while contributing
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opportunity to contribute to an exciting translational research project that combines engineering innovation with real-world agricultural impact. Applicants should hold (or be close to completion of) a PhD in a
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, and SAWA practitioners, alongside approximately 45 PhD researchers and large cohorts of undergraduate and postgraduate students. Significant recent investment has further enhanced the Department's
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value creation. You'll be an ambitious, research-active academic with a passion for connecting scholarship with practice and impact. You will bring: A PhD with a post-doc experience in a relevant field
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or market analysis; or producing implementation-focused outputs for policy and industry stakeholders. Qualifications A PhD (completed or near completion) in a relevant discipline, such as construction
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acquisition, and quantitative analysis, contributing directly to high-quality publications and research outputs. You will work closely with academic colleagues, PhD students, and external collaborators, and you