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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
), we unite the worlds of people and technology to address today’s complex societal challenges. We are passionate about understanding human behaviour, fostering responsible innovation, and designing
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. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape. The Department of Electrical and ICT Engineering Technology in the Faculty
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As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and
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community, and support long-term societal impact. We welcome applicants from background, including but not limited to computer science, data science, engineering or mathematics, who are passionate about
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, physics and engineering to describe, model and target cellular biomechanics during invasion of aggressive brain cancer, Glioblastoma. By targeting cancer cell mechano-adaptation, GLIOFORCE aims to open up
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Resources Engineering, Hydrology/Hydraulics, Environmental Science, Remote Sensing or a related field. Someone with previous training in computer modelling and coding, or with demonstrated experience in field
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vibrant, including research expertise in performance, improvisation, composition, music technology, music education in jazz and improvisation, classical music, experimental music, and popular music. We have
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Person Specification. Internal applicants – please ensure you apply via your employee self-service portal. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate
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shelters and nurseries, and how animals interact with their subterranean environment. This exciting, multi-disciplinary, technology-driven PhD aims to clarify how the structure of breeding and sleeping