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biosynthetic pathways for microbially-derived molecules and understanding how microbial molecule production can be modulated for disease prevention and therapeutic benefit. Using a combination of computational
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
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employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Andrey Rivkin, DTU Compute, https://orbit.dtu.dk/en/persons/andrey-rivkin
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funded project under the Novo Nordisk Foundation Exploratory Interdisciplinary Synergy programme. The project focuses on the design and experimental validation of de novo proteins that target sperm and
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application must be submitted no later than 7 April 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link
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interaction, contact-rich manipulation, and force-aware behaviors Integrate robotic manipulators with mobile bases, perception systems, and onboard sensors Program and deploy robotic systems for experimental
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At the Faculty of Engineering and Science, Department of Materials and Production, section of Physics and Mechanics, a position as Postdoc in rheology and modelling of gels and tissues is open for
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
computational determination of thermophysical and physical–chemical PFAS properties. PFAS molecules are defined by the presence of CF₂ or CF₃ groups and exhibit a wide range of unique characteristics, including
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robotic 3D printing. Optimize the digital twin for different manufacturing process parameters, printing methods and materials. Disseminate the results in peer-reviewed journals. More specifically, you
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for sustainability, energy, and health. Our research efforts in advanced materials integrate novel synthesis and characterization techniques with state-of-the-art multi-scale modelling and scientific computing methods