103 assistant-professor-computer-"https:"-"https:"-"https:" positions at Aalborg University
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and
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Associate Professor Astrid Oberborbeck Andersen and funded by the Independent Research Fund Denmark (DFF), and the location of employment is Aalborg, Denmark. More about the project Deep Seabed Mining (DSM
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educational development initiatives. As part of the PhD programme, the candidate will also undertake teaching responsibilities, primarily contributing to first-year engineering PBL courses and supporting
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of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models
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systems, integrated sensing and communication, and theoretical modeling of 6G systems Solid mathematical background and significant experience in scientific computing programming (MATLAB, Python, C/C
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decision-making. As a postdoc, you will work at the interface between research and practice and contribute to the development of decision-support approaches that help planners and authorities address
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communication and computation co-design enables scalable interaction among networked AIs, paving the way toward embodied intelligence in large-scale physical systems. Your competencies Prospective applicants
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collaboration with the Department of Computer Science at Aalborg University, combining socio-technical research on human-robot collaboration with technical research on interaction technologies and robotic systems
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remain trustworthy even in the presence of disturbances or malicious inputs. Implementing and evaluating the developed methods on embedded computing platforms and hardware prototypes in collaboration with
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that predict genetic cancer risk and help explain these risks to people in a clear and safe way. One part of the project builds AI models that can predict the risk of several cancers at once and explain how