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tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development of user
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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
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Ordnance Survey to start in October 2026. Artificial Intelligence (AI) is transforming workplace processes, raising critical questions about how humans and AI collaborate. This PhD project explores
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Engineering, awarded by the Faculty of Engineering and Architecture at Ghent University in Belgium. Further information about this doctoral degree can be found at https://www.ugent.be/ea/en/for-phd-candidates
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to bandwidth and coverage constraints. These challenges are further exacerbated due to the limited energy budget and computational resources of the meteorological aerial sensor. In the first phase, this PhD
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from talented and highly motivated candidates to pursue a PhD in machine learning at KTH, Sweden, and NTU, Singapore. This is a fully funded, joint doctoral position that will lead to a joint PhD degree
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 months ago
Intelligence Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Jan 2026 - 12:00 (Europe/Warsaw) Country Poland Type
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projects, including the flagship EXCELSIOR H2020 Teaming Project (https://excelsior2020.eu/ ), as well as DIGIFARM, NOSTRADAMUS, CERBERUS, and CARBONICA. ERATOSTHENES Centre of Excellence is an autonomous
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical numerical models to improve the simulation of complex