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systems. The Enzyme Technology section is dedicated to discovering new enzymes and developing innovative bioconversion processes that support sustainable development. Our work spans enzyme engineering
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Mechanical Engineering to conduct the planned research activities. FURTHER INFORMATION For more information about the Horizon Europe MSCA Doctoral Network REUNATECH, the application process, and general
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by DTU, in collaboration with KTH Royal Institute of Technology, Sweden. The project, From Detection to Action: AI-supported Decision Systems for Disaster Preparedness , bridges early risk detection
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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will join a vibrant, multidisciplinary team to push the boundaries of therapeutic protein engineering. Responsibilities and qualifications Design and implement inhibitor libraries using generative AI
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analysis. The project is funded by the Danish National Defence Technology Centre (NFC). The project is a collaboration between DTU, the Alexandra Institute and Copenhagen University’s expertise in AI-driven
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strong background in industrial engineering, computer science, software engineering, energy systems, robotics, or related disciplines Interest in AI, simulation, and optimization for energy and industrial
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Job Description Are you passionate about transforming food safety through cutting-edge technology and want to apply your data science and AI skills to real-world public health challenges? This is
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in a team. You should ideally have: A master's degree in Engineering or Economics with good competences in operation research and optimization. Experience with energy system modeling - ideally of large