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for applications is 12:00 on Monday 7th July 2025. Interviews will be held as soon as possible thereafter. At the Dunn School we are committed to supporting the professional and career development of our postdocs
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applications submitted online and received before noon Friday 5th September 2025 can be considered. Please note that you will receive an automated email from our online recruitment portal to confirm receipt
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for automated text classification, topic modelling, and entity recognition. You will also assist with statistical and econometric modelling, with drafting research memos, summaries, presentations and reports, and
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), postdoctoral researchers (i.e., scholars who are currently in a postdoc position in a business school), and tenure-track faculty members. The position is tenable from 1 September 2026 or at a different date by
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will provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. Key responsibilities: • Manage own
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environment, and of using an automated library management system, will be an advantage. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range
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Management, automated testing, or migration to cloud-native services Application Process To apply, please upload: A covering letter/supporting statement Your CV The details of two referees Sponsorship and
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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automated and manual processing pipelines to enhance clinical diagnostics and patient care. You will collaborate with a diverse team of clinicians, data scientists, and industry partners to integrate cutting
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at lab scale and pilot scale, automation of reactor systems and data recording systems. You will be expected to manage your own academic research and administrative activities. This involves small scale