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data, which often only provides snapshots in time, neglect coastal waters, and overlook certain species. You will work on integrating diverse data sources to overcome these limitations and develop a more
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education . Assessment The assessment of the applicants will be made according to the qualification requirements stated above. We offer DTU is a leading technical university globally recognized
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characterize the toxicological and chemical profile of emerging pollutants in our drinking water. To achieve this you will: Develop novel sample preparation and high-resolution mass spectrometry workflows
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, University of Copenhagen. XAI-CRED aims to develop an explainable AI (XAI) model to expose details of AI models – with a special focus on better understanding the role of credibility in asylum decision-making
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will take advanced courses to build and deepen your skills, implement and evaluate algorithms, and develop your ability to write and present scientific work. We are a supportive team that will welcome
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results. The ability to work collaboratively in a team with an open-minded spirit, embracing both teaching and learning opportunities. A genuine interest in discussing physics and engaging in thoughtful
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Associate Professor Birgitte Zeuner
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Associate Professor Christian Damsgaard, Professor Jakob
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deformation. Responsibilities Develop scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data
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will, in addition, sharpen your didactics skills through experience as a teaching assistant. You must hold a two-year master's degree (120 ECTS points) in Robotics, Electrical Engineering, Computer