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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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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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terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs
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Sciences, Atmospheric Sciences, Geological Sciences Experience analyzing satellite data and model output (e.g., Landsat, Sentinel, MODIS). Experience processing satellite data in cloud computing environments
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learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases. Working in a large team of 15 PhD students, several postdocs
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doctoral students. Results should be presented at national and international meetings as well as published in leading subject and high-impact publications. Applicants should hold a PhD/DPhil, (or close
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activities in support of project management Guide PhD students Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: PhD in
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or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion). ? Familiarity with cloud computing and machine learning techniques
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embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and