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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid
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Promoting a Green Transition What we expect: The applicant should have completed a Master’s degree (MS / MSc / MTech / ME etc.) in Software Engineering, Information Technology, Computer Science, Artificial
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, and the use of feed additives) will also be explored. The applicant is made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD programme at
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Databehandlingsansvarlig: Fingerprint JS Formål: Device fingerprinting for security purposes Personvernregler for databehandling: Fingerprint JS - Personvernregler for databehandling Utløpsdato: ett år Navn: _iidt
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Jesper Hallas and Anton Pottegård. It comprises approx. 45 individuals and focuses on registry-based research covering all aspects of drug use, drug effects, and drug safety. The group is highly regarded
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PhD Studentships to support doctoral research in the Arthur Scargill Archive at the University of Sheffield Faculty of Arts and Humanities 4 Year PhD Programme Funding Available UK Students View
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and mitigation within the general study programme wireless communication; as per April 1, 2026, or as soon as possible thereafter. The duration of the positions is three years. In electronic engineering
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, research, and collaboration with the communities around us. Our PhD program in Business is a fully-funded three- or four-year research education, which includes an intensive course component, research
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solve problems and identify opportunities, from a business as well as government perspective. U.S.E.’s Bachelor’s programme Economics & Business Economics offers students a solid foundation in economic
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap