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Field
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Project Brief This is an exciting opportunity to undertake cutting-edge research in partnership with Ricardo UK. The PhD project will focus on developing next-generation combined axial–radial flux
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Science and the Division of Cell Systems
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(UTC) Country Belgium Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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that could be realised with autonomy and prevents effective human-robot coexistence in complex nuclear operations. The PhD project is aimed at developing technologies, methodologies and assurance frameworks
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent
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of abdominal aortic aneurysms. Information As a PhD candidate, you will contribute to the prestigious NWO VICI programme "(R)evolution in Abdominal Ultrasound Imaging" within the Photoacoustics & Ultrasound
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this? In this PhD position, you will combine computational biology, genomics, and artificial intelligence to develop
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Lecturer-PhD candidate - 1.0 FTE - Vacancy number: 16748 Are you passionate about