34 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Copenhagen
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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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required. The position is funded for two years, with the possibility of extension for a third year. Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty
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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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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 take a leading role in society as advocates for science and nature, creating impact at all levels while actively promoting the museum’s Vision and Values (https://snm.dk/en/about-museum ). Further
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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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: https://employment.ku.dk/faculty/criteria-for-recognising-merit . Furthermore, we are looking for a highly motivated and enthusiastic scientist with the following skills and experience: Essential
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https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 13. Questions For specific information about the PhD fellowship, please contact