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Python and Pytorch as well as deployment on GPU clusters. A strong publication record in graph neural networks, geometric deep learning, representation learning, machine learning–based molecular/materials
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(mandatory) Experience as main author in peer-reviewed scientific publications (mandatory) Strong programming skills in Python and deep learning frameworks (mandatory) Documented expertise in one or more of
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, the applicant chosen is expected to be physically present on a regular basis and actively participate in the teaching and research activities of the Department. Qualifications The applicant must hold a PhD or the
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types of primary data like own surveys and secondary data collected by third parties. The ideal candidate for the position will be a recent PhD graduate with a deep interest in this domain who can provide
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Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University of Copenhagen. The sub-package focuses
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are part of a sub-project on Algorithmic Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University
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own surveys and secondary data collected by third parties. The ideal candidate for the position will be a recent PhD graduate with a deep interest in this domain who can provide research support in
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also co-shape reality and can thus foster change. Work within the section embrace a forward-looking approach while grounding research in a deep historical understanding of the materiality and sociality
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chatbots and other virtual assistants that can help students learn more effectively or prepare for exams, or support teachers in repetitive tasks. We are looking for a highly motivated and experienced
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quantitative and qualitative methods to generate systematic knowledge about business-government relations and international business relations. To learn more about the research and education of the department