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one or more of the following areas: • Cyber security • Privacy engineering • Computer Engineering • Edge/cloud computing and networking The main tasks and responsibilities include
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, cloud and network security, resilient distributed systems, resilient infrastructure, trusted execution environments, software supply chain and ecosystem security, and/or malicious code detection. Computer
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applicant will also bring significant experience with general software engineering, with working experience with Cloud Platforms (Google Cloud Platform, AWS, Azure), alongside a strong understanding of recent
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, Associate Professor Chresten Træholt (ctra@dtu.dk ), Senior Researcher Shi You (shyo@dtu.dk ) or Senior Researcher Yi Zong (yizo@dtu.dk ). You can read more about DTU Wind and Energy Systems at https
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and code. Competences and Skills: • Experience in MLOps, cloud/edge computing, software architectures, data engineering/ML tooling, and reinforcement learning. • Good collaboration capabilities
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be part of that group. Applicants should hold a PhD in a relevant research area (see below). The job can be either an Aasistant professor, Tenure track Assistant professor or Associate professor
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be part of that group. Applicants should hold a PhD in a relevant research area (see below). The job can be either an Aasistant professor, Tenure track Assistant professor or Associate professor
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining