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Search’ to identify programme of study: search for the ‘Course Title’ using programme code:8050F Research Area: Computing Science select ‘PhD Computer Science (Full time) – Computing Science’ as the
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Deadline 29 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to
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candidates for PhD study in the Department of Data Science and Artificial Intelligence at the Faculty of IT, Monash University. As part of this scholarship, the successful candidate will develop novel
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. Duties • To participate in the development, implementation and validation of scientific data analysis methodologies using advanced computing and artificial intelligence techniques. • Participate in
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possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biostatistics and Epidemiology at the Faculty of Medicine
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is seeking a PhD student to join an ongoing Royal Society–Research Ireland University Research Fellowship project focused on Machine Learning for the Design of Additively Manufactured Two-Phase Heat
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10411 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be hosted by Inria
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD in
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increasing pressure to minimise global warming impacts over the building’s new life cycle. As a PhD researcher within the Horizon Europe project ReEnsemble, you will investigate how decisions about adaptive
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-design of ML models taking inspiration from the brain. The applicant should: have a Master’s degree in Engineering with a background in Electrical Engineering, Computer Science, Artificial Intelligence