69 machine-learning "https:" "https:" "https:" "UCL" positions at Nature Careers in France
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attendance and collaboration with other research organisations. Scientific contact Prof Dr Gunnar Dittmar gunnar.dittmar@lih.lu More information about the groups can be found here: https://signaling.lih.lu
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this website: http://www.crypto-uni.lu/vacancies.html Your profile A PhD degree in cryptography Competitive research record in cryptography Fluent written and verbal communication skills in English are mandatory
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of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG-NWE funded AccessHubs project, which examines
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
in Computer Vision; 2009 Oct 12–16; Trégastel, France.Available from: https://inria.hal.science/inria-00404638v1/document 5. Micicoi G, Grasso F, Kley K, Favreau H, Khakha R, Ehlinger M, et al
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role The University of Luxembourg (UL) invites applications for a postdoctoral researcher position within the Department of Computer Science (http://dcs.uni.lu ). The candidate should have a research
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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and
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Department of Geography and Spatial Planning (https://dgeo.uni.lu ) and participate to its activities Your profile Master's degree in human geography, spatial economics, or a quantitative social science field
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell
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through this platform, where the applicant can also find the application templates : https://institut-du-cerveau.wiin.io/en/applications/call-for-juniorgroupleaders Application deadline: April 26th, 2026
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate