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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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. The developed technology will be rooted in causal reasoning, and we envision leveraging causal generative AI methods to develop a rigorous and comprehensive AI testbed. Clinical applications include, but are not
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will play an active role in advancing and evolving this technology to expand its capabilities, with a primary focus on developing ligands and tool compounds targeting therapeutically relevant proteins
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This project focuses on reducing aerofoil broadband noise, specifically turbulence–leading edge interaction noise and trailing edge self-noise, commonly encountered in aero-engines, wind turbines
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are seeking candidates with a PhD (or near completion) in a relevant field, or with substantial and demonstrable research skills (academic or professional) that reflect equivalent capability, to contribute
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assistants, PhD students, and/or project volunteers. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
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qualitative data acquired through focus groups and interviews with regulators, manufacturers and engineers, and deriving analytic insights into material perceptions and values. In addition, they will oversee
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. develop their own independent research proposals (e.g., PhD studentships or research fellowship applications). contribute to other research activities as required, e.g., literature reviews, qualitative data
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. The position is available up until the end of 2025. Where a PhD has yet to be awarded the appointment will initially be made at Research Assistant level (Grade 5) and amended to Research Associate (Grade 7) upon