26 parallel-and-distributed-computing "Computer Vision Center" Postdoctoral positions at Aalborg University
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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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and high-performance computing to build and run advanced numerical models, carry out simulations and analyse results in a systematic and transparent way. Depending on ongoing projects, you may be
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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
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, statistical analysis of several omics data as well as registry data, and contribute with this expertise in collaborations with other disciplines within the center. The postdoctoral fellow will assume primary
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Computing Section at Aalborg University’s Department of Computer Science. We provide an ambitious and supportive research environment focused on the design and evaluation of interactive systems that
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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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genuine enthusiasm for working in a collaborative, interdisciplinary, and international research environment. Who we are The position is based at the Center for Microbial Communities, which brings
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Postdoc in Digital Education and Empowerment for Patients with Atrial Fibrillation and Comorbidities
At the Faculty of Medicine, Department of Health Science and Technology a postdoc in digital education and empowerment for patients with atrial fibrillation and comorbidities are available for
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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