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the advantages of a creative and inspiring work environment shared with about 400 highly skilled and motivated colleagues. Responsibilities As a postdoc you will conduct research and assist with teaching in
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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wastewater treatment and resource recovery. We are looking for a dedicated and forward-thinking researcher to join our interdisciplinary team and help shape the future of sustainable water technologies and
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expected to involve approximately equal measure of analytical, computational, and exploratory work. You are expected to help advance the theoretical understanding, e.g., by development of new theoretical
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer
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at the atomic-scale, and in turn, to aid design of new and more efficient catalysts needed to tackle the environmental challenges of our time. VISION’s hosts a new one-of-a-kind electron microscope facility
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on developing energy-efficient, privacy-preserving IoT systems to enable proactive elderly care at home. More specifically the main responsibilities of the PhD candidate will include: Designing and deploying
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central role in education and training (20% of your time). You will co-lead a core module on our Applied Bioinformatics MSc, designing the syllabus, delivering lectures and hands-on tutorials, setting and
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal