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) in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related quantitative field. Further qualifications: Technical Skills: Advanced proficiency in Python and deep
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interest in learning Danish is an advantage. Meet your new colleagues You will become part of the Department of Glaciology and Climate. Our department studies both the current and past changes
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within the newly funded Horizon Europe research project OceanSOS (creating a Safe Operating Space for the deep and open Ocean). OceanSOS is an international, interdisciplinary research project
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advanced analytical approaches, including deep learning and machine learning, to improve disease subtyping and risk prediction. You should have a strong willingness to learn, enjoy tackling challenging
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representation learning. Programming skills (e.g., Python) and experience with deep learning frameworks (e.g. PyTorch) Interest in applications to ecological or biological networks Good analytical and
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D
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academic profile sought is within process engineering or a related discipline. You should have an interest in and motivation to learn about the interaction between Power-to-X plants and the electrical grid
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strengthen your profile but is not a requirement for the position. The core academic profile sought is within process engineering or a related discipline. You should have an interest in and motivation to learn
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candidate and a postdoctoral researcher. The candidate’s workplace will be in Aalborg. As part of this project, you will investigate the impact of generative AI on creative processes and design novel ways
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supervise university students. The department has an international staff of approximately 40 researchers, PhD students and postdoctoral fellows. We have a great focus on multi-disciplinary collaboration