92 parallel-and-distributed-computing-"Computer-Vision-Center" positions at Aalborg University
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Do you want to help shape the next generation of computer vision and artificial intelligence research in an international, collaborative lab environment? We are looking for an assistant professor who
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Aalborg University | Witwatersrand Native Labour Association Dam, Mpumalanga | South Africa | 2 months ago
Engineering programme as Associate Professor in AI and Computer Vision. You will play a central role in educating future engineers, combining deep technical expertise with close interaction with students
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Assistant professor or Tenure-track Assistant professor in Distributed, Embedded and Intelligent Systems - Aalborg Campus (DEIS) Department of Computer Science, Aalborg University is hiring an
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involve scientific programming, analysis and documentation of results, and dissemination through peer-reviewed publications and international conferences. The position is offered within the Center for
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of Computer Science has the following research groups: Automated System Verification and Validation Data Engineering, Science, and Systems Distributed Sustainable Software and Systems Formal Methods
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Aalborg University | Department of Science and Technology, Gauteng | South Africa | about 17 hours ago
data. The section also hosts research in areas including natural language processing and trustworthy AI, human-centred computing, software engineering, and distributed and interactive systems. This
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Dedicated start-up funding for research costs Travel funding for international conferences Computer and other practical office necessities Support with relocation to Aalborg, Denmark, a growing
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The Technical Faculty of IT and Design, Department of Computer Science, Section for Copenhagen, Natural Language Processing The Department of Computer Science at The Technical Faculty of IT and
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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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will be conducted in close collaboration with clinical partners, providing access to data-rich healthcare environments and established diagnostic workflows. One key partner is the Diagnostic Center