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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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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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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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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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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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corresponds to the Danish system. (For reference, see: https://ufm.dk/en/education/the-danish-education-system/grading-system/?set_language=en ) The three-year PhD programme at CBS allows you to conduct
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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
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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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impact on calcium signaling and cellular processes, including but not limited to neuronal function. You will be involved with teaching and supervising students following the problem based learning (PBL