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Field
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eligible for this post, applicants must have formally submitted their PhD thesis and must either have successfully completed their viva examination or have an agreed viva date scheduled within 3 months
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already have used data-driven computational methods to model cognitive or behavioural change in any substantive domain, that would be ideal. Experience specifically with research on consumers or citizens
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scanners at our disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD
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of Manchester. You will be responsible for: Design and deliver mixed-method research on the adoption and impact of AI tools in a large complex organisation, under the guidance of the Principal Investigator
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events, mentoring junior scholars, and supporting ongoing field-building efforts by Dr. boyd’s team. Requirements PhD in the social sciences, STS, history, or relevant field and have conducted significant
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natural or formal sciences Very strong practical knowledge of qualitative and quantitative research methods Experience teaching one or more courses in one or more of the department's subject areas
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data, leveraging patient movement data. This research will
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methods, provides the ideal environment for research on programming with formal guarantees — a topic of increasing practical importance. About us The Department of Computer Science and Engineering , a joint
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team, Aarhus University and MAX IV. Depending on the candidate’s interests and expertise, research activities may include studies of functional materials, advanced crystallographic methods, automated and
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proximity to Dr. Rodrigues’s office will facilitate frequent informal interactions, supplemented by at least one formal meeting each week and regular multidisciplinary project meetings. The fellow will