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programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to
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The Department of Food Science, section of Ingredient and Dairy Technology, invites applicants for a fulltime postdoctorate fellowship in formulation and digestion of plant based foods. The position is for two years, with possibility of extension. The project is part of the larger research...
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of neuroimaging data and experience with computer programming, in particular Matlab. You have a strong interest in music. You have good interpersonal skills, are friendly, helpful, and able to contribute to a good
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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from abroad. Technology for people 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
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funds for you to present your work at scientific conferences. Computer and other practical office necessities. Guidance on re-location to Aalborg, Denmark. Who are you? CNAP recruits highly qualified and
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for the position. Technology for people 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
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: Develop and refine experimental tasks. Manage collaborations with external partners. Plan and execute analysis strategies. Work with large datasets and apply advanced analytical methods. Contribute to both
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programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to
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challenging environments, where signals are extremely noisy and distorted, and include severe linguistic variations, particularly when data and computational resources are scarce. This will be tackled using a