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interdisciplinary research. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes This is a self-funded project. Applicants must secure their own
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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maintain an extramurally funded program of research in health policy, health services research and /or nursing workforce. • Directs PhD in Nursing program • Recruit and mentor PhD students • Teach in area of
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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become scholars and professionals of the highest distinction. (Learn more about the national MMUFprogram Link is external, Link opens in new window .) The Princeton MMUF program comprises professional
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background in the topics related to this PhD position. Good knowledge of combinatorial optimization (scheduling problems, mathematical modelling etc.), machine learning and/or strong programming skills
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to For details, see: https://www.gradschool.physics.uni-koeln.de/applying/applying-for-phd-in-bonn-or-cologne . Accommodation Accommodation is available through the student union ("Kölner Studierendenwerk
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of Bologna. Where to apply Website https://jobrxiv.org/job/university-of-bologna-27778-phd-decision-making-in-prof… Requirements Additional Information Work Location(s) Number of offers available1Company
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
Description Applications are open for 4 Research Studentships, within the framework of (1801P.01521.1.01) gEICko-101223148 - IST-ID, funded by The European Innovation Council (EIC Workplan: These PhD grants
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Your Job: The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials