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DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17
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with the experimental group of Andras Kis at EPFL. Responsibilities The successful candidate will develop and apply ab initio computational methods rooted in many-body (perturbation) theory to explore
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this knowledge to suggest new ways to optimise catalytic reactions. Overall, you will contribute to the development of AI-enhanced autonomous workflows for interface. These implementations will be general and will
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challenges associated with capturing CO₂ directly from ambient air and is suited for candidates interested in combining computational modeling with experimental electrochemistry to develop energy-efficient e
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nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models
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of skills, and have the opportunity to explore interests in polymer synthesis, assay development, immunology, and statistics. Specifically, the work will involve: Organic synthesis Assaying polymers
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-based imaging technique Dark-Field X-ray Microscopy. Installed at the European Synchrotron Radiation Facility in France we utilize it to visualize the evolution of internal structures in metals during
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research events. You will develop both theoretical and applied work as you will be in close contact to real applications. You will participate in international secondments to other organisations in
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are expected to orient more strongly towards hospital-at-home and strengthened collaboration with primary care and municipal services to support more integrated and coherent patient pathways. These developments
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Job Description Are you interested in developing tomorrow’s food fermentation technology? At DTU National Food Institute we are looking for a skilled and motivated person that is interested in