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leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications. Research environment The Optical Networks (ON) Unit
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terms of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering
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science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description We are seeking
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specified. Environmental conditions: This position is not substantially exposed to adverse environmental conditions. Required Qualifications REQUIRED: 1. PhD in Oceanography, Genome Sciences, Computer
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of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking
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-constrained environments, including edge AI applications. Guide PhD students and collaborate with engineers to implement advanced ideas. Author scientific publications, present findings at conferences, and
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science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description The successful
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
”. Different scholars have located the power of clouds in market devices like intellectual monopolies (Rikap) or assetization (Birch), or in infrastructural aspects like computing arrangements for scale (Narayan
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supervise BSc and MSc student projects and co-supervise PhD students; As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized
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. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and