32 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Copenhagen
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, semiparametric inference), and ideally experience with high-dimensional econometrics, machine learning, or advanced causal inference methods. Demonstrate the ability and motivation to pursue independent research
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extensive experience working with large data sets in Python are required for the position. Experience with machine learning, OCR, natural language processing, geospatial analysis, and data visualization is a
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an opportunity to actively engage as a collaborative partner in different projects depending on their interests and expertise. Learn more about the Center and our research, vision, and values here . About the
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office supplies Make sure the kitchens and coffee machines are clean and tidy Lighter administrative tasks We expect: Initiative and curiosity You are responsible and enjoy managing the practical tasks
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systems. Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to Assoc. Prof. Leonardo Midolo
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for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at https://employment.ku.dk/faculty
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expected to learn new laboratory techniques and become able to use them autonomously. Furthermore, he/she will attend weekly seminars and laboratory meetings. The working hours are 37 hours per week. For
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to collegiality and collaboration at the Department and a strong record of international collaboration. The appointed professor must have or acquire the proficiency in Danish required to teach and interact with
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focuses on the complex interplay of health, social, and environmental factors that shape individuals, families, and networks over time. Learn more about the Center and our research, vision, and values here
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for Education of Health Professionals. The team consists of staff from Department of Public Health and the Centre for Online and Blended Learning (COBL). Read more on the project website here . We expect