12 python-"https:"-"Computer-Vision-Center" Postdoctoral positions at Aalborg University
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will address how agents fuse heterogeneous sensory streams, including vision, LiDAR, inertial measurements, and radio signals, to maintain coherent spatial awareness and act reliably under uncertainty
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interests. Scientific dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the
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to start from 1st of November 2026 or as soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the
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products and the bioeconomy in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python
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focus on digital health. Apart from striving for excellence within specialized disciplines, it is our vision to foster interdisciplinary collaboration between health professionals and engineers, focusing
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boundary layer methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C
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Computer Science Ref number: 2026/958 Employment type: Full Time Apply Aalborg Deadline : 31.08.2026 Department: Department of Computer Science Ref number: 2026/958 Employment type: Full Time Apply Vacant
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with the ORBIT consortium and be affiliated with the Center for Information Systems Research and the AI:Xpertise Lab at Department of Society and Politics. The Department of Society and Politics
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The National Center of Excellence for Molecular Prediction of Inflammatory Bowel Disease (PREDICT), based at Department of Clinical Medicine, Aalborg University (AAU) in Copenhagen, is looking to
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Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department of