12 programming-"Multiple"-"U"-"Prof"-"O.P"-"U.S"-"University-of-South-Eastern-Norway" positions at Technical University of Denmark
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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part of the Perception and Cognition for Autonomous Systems Group (PCAS), and you will find yourself among multiple PhD students and senior researchers working on multiple aspects of autonomous robotics
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oxidation and disinfection processes. Work together with researchers at multiple departments at DTU and NTNU Research activities will mainly be carried out at DTU Sustain with research visits in Norway
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and competences across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific, academic, and industrial relevance Contribute to and
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increasing the value of such a hybrid power plant for uncertain renewable energy driven future power systems. You will need to work closely with industry in multiple national and international research
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collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
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of diverse teams with multiple technical and theoretical expertise. Applicable responsibilities for both positions: You are expected to be able to organize and perform your own experiments, and critically
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Foundation Center for Biosustainability at the Danish Technical University! This position is for you if you are an experienced scientist, and you are looking to make a difference being part of multiple
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power plants and plan large-scale power and energy systems. You are expected to collaborate with multiple industrial partners over multiple projects. We are looking for a self-motivated and team-oriented
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade