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leaders say—and what they do not say—as signals about trust, competence, and intent. In this PhD project, we examine how leaders influence follower outcomes through the way they regulate information. While
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that help determine when an AI model is ready for use and when more research is needed. PhD in Epidemiology on value-of-information from validating clinical prediction models and AI Our goal: Develop value
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://www.academictransfer.com/en/jobs/360058/phd-position-network-data-scien… Requirements Additional Information Website for additional job details https://www.academictransfer.com/360058/ Work Location(s) Number of offers
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? Join an interdisciplinary PhD project that uses large-scale viral genome and epidemiological data to develop predictive theory for rapidly evolving viruses. You will work at the interface of theoretical
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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inequalities between different population groups. The PhD project will utilize large scale individual-level datasets, such as register and survey data, with information on individuals, their housing situation
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other AI applications in clinical workflows. In this PhD position, you will contribute to the development of a practical integration approach that enables standardised data exchange and model deployment
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value. The project combines large-scale longitudinal data on PhD recipients with complementary sources such as publication and patent data, and aims to enrich these with other sources on individual paths
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/360391/phd-candidate-on-the-political-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/360391/ Work Location(s) Number of offers available1Company
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student