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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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E-mail jakub.ceranka@vub.be Website https://jobs.vub.be/job/Elsene-PhD-in-'medical-image-analysis-and-artificial-in… Requirements Research FieldEngineering » Biomedical engineeringEducation
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or constrain compositional cognition, and do the same signatures appear across biological brains and artificial neural networks? This is the central question driving this PhD project, part of the ERC
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Recognised Researcher (R2) Positions PhD Positions Application Deadline 6 Apr 2026 - 23:59 (Atlantic/Canary) Country Spain Type of Contract Temporary Job Status Full-time Offer Starting Date 20 Mar 2026 Is the
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The Faculty of Science AI Doctoral Training Centre (AI DTC ) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world
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For more than 50 years, the Vrije Universiteit Brussel has stood for freedom, equality and solidarity, and this is very much alive on our campuses among students and staff alike. At the VUB, you will find a diverse collection of personalities: innovators pur sang, but above all people who are...
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for a highly motivated PhD student to conduct research under the supervision of Prof. Jef Vandemeulebroucke in the field of medical image analysis and artificial intelligence. The selected candidate will
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella
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operation. This is an exciting PhD project with industrial collaborators at the intersection of power systems, artificial intelligence, and mathematical modelling. The project is well-suited to students with
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of programming, maybe even machine learning and artificial intelligence Prior knowledge of machine learning is not required, but considered an asset You have an independent and responsible way of working